Triple

T10286381
Position Surface form Disambiguated ID Type / Status
Subject Fantasy Island E241238 entity
Predicate character P662 FINISHED
Object Mr. Roarke E778840 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: Mr. Roarke | Statement: [Fantasy Island, character, Mr. Roarke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Roarke
Context triple: [Fantasy Island, character, Mr. Roarke]
  • A. Mr. Roarke chosen
    Mr. Roarke is the enigmatic, white-suited host of the mysterious island resort on the television series "Fantasy Island," where guests' deepest wishes are granted, often with unexpected consequences.
  • B. Frank Roarke
    Frank Roarke is a veteran, morally ambiguous LAPD detective who mentors a rookie cop in the television adaptation of "Training Day."
  • C. Leon Vance
    Leon Vance is the stern yet principled Director of NCIS in the long-running American television crime drama series.
  • D. Maxim Knight
    Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
  • E. Dixon Steele
    Dixon Steele is a troubled, hard-boiled Hollywood screenwriter whose volatile temperament and moral ambiguity drive the dark psychological drama of "In a Lonely Place."
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b8343c819087c50e5471c46e3f completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f84d432c8190a7d33e6c9f8ba8f2 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:40 a.m.