Triple

T10305852
Position Surface form Disambiguated ID Type / Status
Subject Mona McKinnon E241757 entity
Predicate workedWith P398 FINISHED
Object Ed Wood E62945 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: Ed Wood | Statement: [Mona McKinnon, workedWith, Ed Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Wood
Context triple: [Mona McKinnon, workedWith, Ed Wood]
  • A. Ed Wood chosen
    Ed Wood is a 1994 biographical comedy-drama film directed by Tim Burton that portrays the life and eccentric filmmaking career of cult director Edward D. Wood Jr.
  • B. Edward Wood
    Edward Wood, later known as Lord Irwin and Earl of Halifax, was a prominent British Conservative politician and diplomat who served as Viceroy of India and Foreign Secretary in the early 20th century.
  • C. John Waters
    John Waters is an Australian actor known for his work in film, television, and theatre, including prominent roles in historical dramas and popular TV series.
  • D. John Waters
    John Waters is an American filmmaker, writer, and artist known for his transgressive cult films such as "Pink Flamingos" and "Hairspray."
  • E. Waiting for Guffman
    Waiting for Guffman is a 1996 mockumentary comedy film directed by Christopher Guest that satirizes small-town community theater through an eccentric cast of aspiring performers.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d309a4508190ad9de37171a64dba completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d60be1481909dc1330f150e3897 completed April 9, 2026, 3:30 a.m.
Created at: April 6, 2026, 11:46 a.m.