Triple
T3687458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song Zheyuan |
E78258
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Song
Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
|
E380391
|
NE FINISHED |
How this triple was built (4 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: Song | Statement: [Song Zheyuan, familyName, Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Song Context triple: [Song Zheyuan, familyName, Song]
-
A.
Singel
Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
-
B.
Sing
Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
-
C.
Love Song
"Love Song" is a 2007 piano-driven pop single by Sara Bareilles that became her breakout hit and is known for its catchy melody and defiant lyrics about artistic independence.
-
D.
Favorite Song
"Favorite Song" is a standout hip-hop track by Chance the Rapper featuring Childish Gambino from his acclaimed mixtape *Acid Rap*.
-
E.
Songbook
Songbook is a solo acoustic live album by Chris Cornell, featuring stripped-down performances of songs from across his career.
- 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: Song Triple: [Song Zheyuan, familyName, Song]
Generated description
Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Song Target entity description: Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
-
A.
Singel
Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
-
B.
Sing
Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
-
C.
Love Song
"Love Song" is a 2007 piano-driven pop single by Sara Bareilles that became her breakout hit and is known for its catchy melody and defiant lyrics about artistic independence.
-
D.
Favorite Song
"Favorite Song" is a standout hip-hop track by Chance the Rapper featuring Childish Gambino from his acclaimed mixtape *Acid Rap*.
-
E.
Songbook
Songbook is a solo acoustic live album by Chris Cornell, featuring stripped-down performances of songs from across his career.
- F. None of above. chosen
Provenance (5 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c7e2bc81909356c8b0ed90feed |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3c10f6481908feed99cddc56d47 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c7bd861c8190a1a7887f6d7fd6de |
completed | March 14, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c83085488190a48c6e4786d275e2 |
completed | March 14, 2026, 2:30 a.m. |
Created at: March 8, 2026, 3:26 p.m.