Triple
T2547583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Simon |
E57940
|
entity |
| Predicate | createdCharacter |
P2004
|
FINISHED |
| Object | Stuntman |
E112083
|
NE FINISHED |
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: Stuntman | Statement: [Joe Simon, createdCharacter, Stuntman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuntman Context triple: [Joe Simon, createdCharacter, Stuntman]
-
A.
Oddjob
Oddjob is the iconic, silent henchman from the James Bond film "Goldfinger," known for his deadly steel-rimmed bowler hat and formidable physical strength.
-
B.
Mr. Clutch
Mr. Clutch is the famous nickname of NBA legend Jerry West, renowned for his late-game heroics and clutch performances.
-
C.
Wolfman Jack
Wolfman Jack was a famous American disc jockey known for his gravelly voice, energetic on-air persona, and influential presence in rock and roll radio.
-
D.
Errol
Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
-
E.
Rod Kimble
chosen
Rod Kimble is the inept but determined amateur stuntman protagonist of the comedy film "Hot Rod," portrayed by Andy Samberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d0e6e188190be190965cc02838e |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.