Triple
T4670055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Hunt |
E102939
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hunter |
E238950
|
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: Hunter | Statement: [Linda Hunt, familyName, Hunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunter Context triple: [Linda Hunt, 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.
Die Hart
Die Hart is an action-comedy series starring Kevin Hart as a fictionalized version of himself trying to become an action movie star, blending Hollywood satire with over-the-top stunts.
-
D.
Pariah
Pariah is a 2011 independent coming-of-age drama film about a Brooklyn teenager embracing her identity as a lesbian, noted for its intimate storytelling and evocative cinematography.
-
E.
Guarda
Guarda is a historic city in central Portugal known for being the country's highest-altitude city and for its well-preserved medieval architecture.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd634ef5608190925663e988e3585b |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0390c238819089fb54648dfe1e64 |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:15 p.m.