Triple
T14010757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jemaine Clement |
E337071
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gentlemen Broncos |
E1015876
|
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: Gentlemen Broncos | Statement: [Jemaine Clement, notableWork, Gentlemen Broncos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gentlemen Broncos Context triple: [Jemaine Clement, notableWork, Gentlemen Broncos]
-
A.
Gentlemen Broncos
chosen
Gentlemen Broncos is a 2009 offbeat comedy film directed by Jared Hess, known for its quirky, absurdist humor and eccentric characters.
-
B.
Broncos
Broncos is the commonly used short name for the Brisbane Broncos, a professional rugby league club based in Brisbane, Australia.
-
C.
Broncos
The Broncos are the athletic teams representing Boise State University, best known for their successful football program and iconic blue turf field.
-
D.
Broncos
The Broncos are the athletic teams representing Fayetteville State University in collegiate sports competitions.
-
E.
Broncos
The Broncos are the athletic teams representing Western Michigan University in NCAA sports competitions.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca7bbd88190a377d3b74f3d6224 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.