Triple

T10365181
Position Surface form Disambiguated ID Type / Status
Subject War & Peace (2016 TV series) E244232 entity
Predicate composer P1361 FINISHED
Object Martin Phipps E168506 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: Martin Phipps | Statement: [War & Peace (2016 TV series), composer, Martin Phipps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Phipps
Context triple: [War & Peace (2016 TV series), composer, Martin Phipps]
  • A. Martin Phipps chosen
    Martin Phipps is a British film and television composer known for his atmospheric, orchestral scores for acclaimed series and period dramas.
  • B. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • C. Michael Pugh
    Michael Pugh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • D. Andrew Whalley
    Andrew Whalley is a prominent British architect known for his leadership role and influential design work at the international architecture firm Grimshaw.
  • E. Jeremy Sumpter
    Jeremy Sumpter is an American actor best known for playing the title role in the 2003 film adaptation of "Peter Pan."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e964a53c8190b748e80850e96656 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750c8c7588190a31bac5b774155fe completed April 9, 2026, 7:10 a.m.
Created at: April 6, 2026, noon