Triple
T3783405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Only Girl (In the World) |
E85470
|
entity |
| Predicate | mixer |
P30367
|
FINISHED |
| Object |
Phil Tan
Phil Tan is a Grammy-winning mixing engineer renowned for his work on numerous chart-topping pop and R&B records.
|
E389666
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Phil Tan | Statement: [Only Girl (In the World), mixer, Phil Tan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Tan Context triple: [Only Girl (In the World), mixer, Phil Tan]
-
A.
Charles C. Tan
Charles C. Tan was a notable benefactor and alumnus of the University of California, Berkeley, for whom the university’s chemical engineering building, Tan Hall, is named.
-
B.
Daren Tang
Daren Tang is a Singaporean lawyer and intellectual property expert who serves as the Director General of the World Intellectual Property Organization (WIPO).
-
C.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
D.
Larry Fong
Larry Fong is an American cinematographer known for his visually striking work on major films such as "300," "Watchmen," and "Batman v Superman: Dawn of Justice."
-
E.
Stanley Tang
Stanley Tang is a technology entrepreneur best known as a co-founder of the food delivery platform DoorDash.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Phil Tan Triple: [Only Girl (In the World), mixer, Phil Tan]
Generated description
Phil Tan is a Grammy-winning mixing engineer renowned for his work on numerous chart-topping pop and R&B records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phil Tan Target entity description: Phil Tan is a Grammy-winning mixing engineer renowned for his work on numerous chart-topping pop and R&B records.
-
A.
Charles C. Tan
Charles C. Tan was a notable benefactor and alumnus of the University of California, Berkeley, for whom the university’s chemical engineering building, Tan Hall, is named.
-
B.
Daren Tang
Daren Tang is a Singaporean lawyer and intellectual property expert who serves as the Director General of the World Intellectual Property Organization (WIPO).
-
C.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
D.
Larry Fong
Larry Fong is an American cinematographer known for his visually striking work on major films such as "300," "Watchmen," and "Batman v Superman: Dawn of Justice."
-
E.
Stanley Tang
Stanley Tang is a technology entrepreneur best known as a co-founder of the food delivery platform DoorDash.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mixer Context triple: [Only Girl (In the World), mixer, Phil Tan]
-
A.
mixingEngineer
chosen
Indicates that one entity is the audio professional responsible for combining and balancing the recorded elements of another entity (such as a song, track, or project).
-
B.
mixtape
Indicates that one entity has created or compiled a curated collection of audio tracks, typically recorded or assembled together as a single compilation.
-
C.
mixesWith
Indicates that one entity is combined or blended together with another entity to form a mixture.
-
D.
musicFusionOf
Indicates a relationship where one musical work, style, or element is created by combining or blending two or more distinct musical sources or genres.
-
E.
masteringEngineer
Indicates that one entity serves as the mastering engineer responsible for finalizing the audio of another entity (such as a recording or album).
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb19229c8190a6f0ee4ae7f52dab |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fbacc8dc8190bb7e4a14e2d2f504 |
completed | March 14, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fc1f679881908e63b22d910c532b |
completed | March 14, 2026, 6:11 a.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.