Triple

T21526788
Position Surface form Disambiguated ID Type / Status
Subject The Prince and Me E531117 entity
Predicate storyBy P1955 FINISHED
Object Katherine Fugate 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: Katherine Fugate | Statement: [The Prince and Me, storyBy, Katherine Fugate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katherine Fugate
Context triple: [The Prince and Me, storyBy, Katherine Fugate]
  • A. Katherine Fugate chosen
    Katherine Fugate is an American screenwriter and television producer best known for creating the Lifetime drama series "Army Wives."
  • B. Katherine Lind
    Katherine Lind is the introspective young refugee protagonist of Philip Larkin’s novel "A Girl in Winter," whose inner life and dislocation drive the book’s quiet emotional drama.
  • C. Katherine Murphy
    Katherine Murphy is a professional colleague closely associated with Danny Maccabee, likely working alongside him in his primary field or workplace.
  • D. Katherine Murphy
    Katherine Murphy is a fictional character connected to Palmer Dodge, likely appearing in the same narrative or creative work as him.
  • E. Katherine Murphy
    Katherine Murphy is a central character in the romantic comedy film "Just Go with It," where she becomes entangled in a web of lies and pretend relationships that evolve into genuine romance.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88515874819085e251c0d297a587 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.