Triple

T14520159
Position Surface form Disambiguated ID Type / Status
Subject In the Line of Fire E340628 entity
Predicate editedBy P1954 FINISHED
Object Anne V. Coates E224130 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: Anne V. Coates | Statement: [In the Line of Fire, editedBy, Anne V. Coates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne V. Coates
Context triple: [In the Line of Fire, editedBy, Anne V. Coates]
  • A. Anne V. Coates chosen
    Anne V. Coates was an acclaimed British film editor best known for her Oscar-winning work on the epic film "Lawrence of Arabia" and her influential decades-long career in cinema.
  • B. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • C. Barbara M. Rolph
    Barbara M. Rolph was the woman who sponsored the U.S. Navy heavy cruiser USS San Francisco (CA-38) at its launching ceremony.
  • D. Susan V. Booth
    Susan V. Booth is an American theater director and arts leader known for her prominent role as artistic director of major regional theaters, including Chicago’s Goodman Theatre.
  • E. Maureen Cox
    Maureen Cox was a British hairdresser best known as the first wife of Beatles drummer Ringo Starr.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a70b15c81908773633e989ef704 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d445c4848190b5c97bb27be6c749 completed May 10, 2026, 6:53 p.m.
Created at: April 10, 2026, 1:22 a.m.