Triple
T6283719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Tom Club |
E140844
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Gary Green
Gary Green is a musician known for his work with the new wave band Tom Tom Club.
|
E581672
|
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: Gary Green | Statement: [Tom Tom Club, hasMember, Gary Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Green Context triple: [Tom Tom Club, hasMember, Gary Green]
-
A.
Matt Turner
Matt Turner is a video game writer best known for his work on the historical action-adventure title Assassin's Creed III.
-
B.
Jake Green
Jake Green is the troubled professional gambler and ex-con protagonist of Guy Ritchie's 2005 crime thriller film "Revolver."
-
C.
Scott Green
Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
-
D.
Scott Green
Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
-
E.
Ryan Miller
Ryan Miller is an American former NHL goaltender best known for his standout tenure with the Buffalo Sabres and winning the Vezina Trophy as the league’s top goalie.
- 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: Gary Green Triple: [Tom Tom Club, hasMember, Gary Green]
Generated description
Gary Green is a musician known for his work with the new wave band Tom Tom Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gary Green Target entity description: Gary Green is a musician known for his work with the new wave band Tom Tom Club.
-
A.
Matt Turner
Matt Turner is a video game writer best known for his work on the historical action-adventure title Assassin's Creed III.
-
B.
Jake Green
Jake Green is the troubled professional gambler and ex-con protagonist of Guy Ritchie's 2005 crime thriller film "Revolver."
-
C.
Scott Green
Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
-
D.
Scott Green
Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
-
E.
Ryan Miller
Ryan Miller is an American former NHL goaltender best known for his standout tenure with the Buffalo Sabres and winning the Vezina Trophy as the league’s top goalie.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fb6b1c8190b19a674c18fc9c53 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5196864788190934e7c66d450dcf1 |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c51e9932cc8190bce03a28097a2ddc |
completed | March 26, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51f1689dc8190bbd38cd7a5425224 |
completed | March 26, 2026, 11:57 a.m. |
Created at: March 22, 2026, 4:26 p.m.