Triple

T3664673
Position Surface form Disambiguated ID Type / Status
Subject The Enemy (1927 film) E77731 entity
Predicate editedBy P1954 FINISHED
Object Margaret Booth E385409 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: Margaret Booth | Statement: [The Enemy (1927 film), editedBy, Margaret Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Booth
Context triple: [The Enemy (1927 film), editedBy, Margaret Booth]
  • A. Margaret Booth chosen
    Margaret Booth was a pioneering American film editor and longtime MGM supervising editor whose career spanned the silent era through Hollywood’s Golden Age.
  • B. Mary Pugh
    Mary Pugh is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Pugh.
  • C. Ethel Chambers
    Ethel Chambers is a notable individual who shares the Chambers surname and is recognized as a distinguished bearer of that family name.
  • D. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • E. Margaret Biggins
    Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc400352081908c16a6a7670eb52a completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fd9ce4081908dee7b37946e86ae completed March 14, 2026, 11 a.m.
Created at: March 8, 2026, 3:25 p.m.