Triple
T7628824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little |
E172706
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Jimmy Little |
E159087
|
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: Jimmy Little | Statement: [Little, hasNotableBearer, Jimmy Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Little Context triple: [Little, hasNotableBearer, Jimmy Little]
-
A.
Jimmy Little
chosen
Jimmy Little was a pioneering Australian Aboriginal country music singer, songwriter, and actor who became one of the nation’s most beloved and influential Indigenous entertainers.
-
B.
Billy Lee
Billy Lee is a manipulative and charismatic cult leader who plays a pivotal antagonistic role in the neo-noir thriller film "Bad Times at the El Royale."
-
C.
Billy Lee
Billy Lee is a musician best known as a member of the American new wave band Tom Tom Club.
-
D.
Ralphie May
Ralphie May was an American stand-up comedian known for his raw, observational humor, self-deprecating style, and breakout success on the reality show "Last Comic Standing."
-
E.
Jimmy Means
Jimmy Means is a former American NASCAR driver and longtime team owner best known for his underdog presence in the Cup Series during the 1970s and 1980s.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa84adb08190885138fc9b908ebf |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870af222481909e341eebb78664d6 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.