Triple

T3812672
Position Surface form Disambiguated ID Type / Status
Subject King Kong franchise E93170 entity
Predicate hasCharacter P2308 FINISHED
Object Dwan E112819 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: Dwan | Statement: [King Kong franchise, hasCharacter, Dwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dwan
Context triple: [King Kong franchise, hasCharacter, Dwan]
  • A. Dwan chosen
    Dwan is the female lead character in the 1976 remake of King Kong, portrayed as the shipwrecked aspiring actress who forms a unique bond with the giant ape.
  • B. Dai Jones
    Dai Jones is the paternal grandfather of Dylan Michael Douglas, the son of actor Michael Douglas and Catherine Zeta-Jones.
  • C. Darryl Hill
    Darryl Hill is an American rapper best known as Cappadonna, a longtime affiliate and later official member of the Wu-Tang Clan.
  • D. Glenn Williamson
    Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
  • E. Max Dennison
    Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee8db8a288190afd1e3b9dcf02e97 completed March 9, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb3a69908190ba8e7ac37c8ca0f8 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:16 p.m.