Triple
T4885012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Costner & Modern West |
E109417
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Bobby Yang
Bobby Yang is a violinist known for his work with Kevin Costner's country-rock band, Kevin Costner & Modern West.
|
E476429
|
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: Bobby Yang | Statement: [Kevin Costner & Modern West, hasMember, Bobby Yang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobby Yang Context triple: [Kevin Costner & Modern West, hasMember, Bobby Yang]
-
A.
Greg Yang
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
-
B.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
C.
Joey Chin
Joey Chin is an actor best known for his role in the 1990 crime film "King of New York."
-
D.
Daniel Zhang
Daniel Zhang is a Chinese business executive best known for leading Alibaba Group through a major period of global expansion and for creating the Singles’ Day shopping festival.
-
E.
Ben Chang
Ben Chang is a chaotic and eccentric Spanish teacher-turned-student from the TV sitcom "Community," known for his unpredictable behavior and over-the-top antics.
- 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: Bobby Yang Triple: [Kevin Costner & Modern West, hasMember, Bobby Yang]
Generated description
Bobby Yang is a violinist known for his work with Kevin Costner's country-rock band, Kevin Costner & Modern West.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bobby Yang Target entity description: Bobby Yang is a violinist known for his work with Kevin Costner's country-rock band, Kevin Costner & Modern West.
-
A.
Greg Yang
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
-
B.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
C.
Joey Chin
Joey Chin is an actor best known for his role in the 1990 crime film "King of New York."
-
D.
Daniel Zhang
Daniel Zhang is a Chinese business executive best known for leading Alibaba Group through a major period of global expansion and for creating the Singles’ Day shopping festival.
-
E.
Ben Chang
Ben Chang is a chaotic and eccentric Spanish teacher-turned-student from the TV sitcom "Community," known for his unpredictable behavior and over-the-top antics.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6de3718881908521968fa6e6b444 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be680fd1508190bc01caeea8f56f84 |
completed | March 21, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69be68e3ff288190803d77350a3ce6a5 |
completed | March 21, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be695116788190903fbd5e375bd31d |
completed | March 21, 2026, 9:48 a.m. |
Created at: March 20, 2026, 1:27 p.m.