Triple
T23326820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game Changer |
E591314
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Chuck Harmony |
—
|
NE NERFINISHED |
How this triple was built (2 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: Chuck Harmony | Statement: [Game Changer, producer, Chuck Harmony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuck Harmony Context triple: [Game Changer, producer, Chuck Harmony]
-
A.
Chuck Harmony
chosen
Chuck Harmony is an American record producer and songwriter known for his work with prominent R&B and pop artists.
-
B.
Rick Wills
Rick Wills is an English rock bassist best known for his work with bands such as Foreigner, Small Faces, and Bad Company.
-
C.
Mitch McDeere
Mitch McDeere is an ambitious young Harvard-educated lawyer who becomes entangled in a corrupt law firm’s criminal activities in John Grisham’s legal thriller "The Firm."
-
D.
Greg Erwin
Greg Erwin is an American NASCAR crew chief best known for leading top Cup Series teams and working with prominent drivers such as Greg Biffle.
-
E.
Scott Lumpkin
Scott Lumpkin is a film producer known for his work on action and thriller movies, including the 2017 film "The Foreigner."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eaa7b88190aad2096c110dadea |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:12 p.m.