Triple
T20155416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Hunter |
E491550
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hunter |
—
|
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: Hunter | Statement: [Bill Hunter, familyName, Hunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunter Context triple: [Bill Hunter, familyName, Hunter]
-
A.
Hunter
Hunter is an Australian federal electoral division in New South Wales, historically centered on coal mining regions and represented in the House of Representatives.
-
B.
Hunter
chosen
Hunter is a common English surname of occupational origin, historically referring to someone who hunted game for a living.
-
C.
Hunter
Hunter is a formidable and enigmatic bodyguard and warrior in Neil Gaiman's urban fantasy novel "Neverwhere," renowned for her unmatched prowess in tracking and combat within the hidden world of London Below.
-
D.
Hunter
Hunter is the enhanced clone commando and tactical leader of Clone Force 99, known for his heightened senses and central role in the Star Wars: The Bad Batch series.
-
E.
Hunter
Hunter is a seasoned, highly skilled assassin who serves as one of the central protagonists in the action thriller film "Killer Elite."
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667df7ac081908816d2d29e7c6513 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.