Triple

T9280110
Position Surface form Disambiguated ID Type / Status
Subject Dinner Party E223044 entity
Predicate featuresCharacter P626 FINISHED
Object Hunter unclear NED1 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: [Dinner Party, featuresCharacter, Hunter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunter
Context triple: [Dinner Party, featuresCharacter, 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
    Hunter is a common English surname of occupational origin, historically referring to someone who hunted game for a living.
  • C. Hunter
    Hunter is a British heritage brand best known for its iconic rubber Wellington boots and outdoor footwear.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cd9a1c8190af0521baa428ce10 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c52e2608190bb92d65785f51205 completed April 4, 2026, 5:06 a.m.
Created at: March 30, 2026, 7:34 p.m.