Triple

T8179779
Position Surface form Disambiguated ID Type / Status
Subject The Thin Blue Line E191028 entity
Predicate starring P1507 FINISHED
Object David Haig E717018 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: David Haig | Statement: [The Thin Blue Line, starring, David Haig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Haig
Context triple: [The Thin Blue Line, starring, David Haig]
  • A. David Haig chosen
    David Haig is a British actor and playwright known for his work in film, television, and theatre, including roles in comedies and period dramas.
  • B. Roy Kinnear
    Roy Kinnear was a British character actor known for his comic roles in film and television, including notable performances in movies like "Willy Wonka & the Chocolate Factory" and various Richard Lester films.
  • C. Michael Caton-Jones
    Michael Caton-Jones is a Scottish film director known for works such as "Scandal," "Rob Roy," and "The Jackal."
  • D. Martin Clunes
    Martin Clunes is an English actor and comedian best known for his lead role in the television series "Doc Martin" and his work on the sitcom "Men Behaving Badly."
  • E. Reggie Brown
    Reggie Brown is an American entrepreneur best known as a co-founder of Snapchat, the multimedia messaging app developed by Snap Inc.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4abd9768819091298e4dd995ac96 completed March 31, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced6fd33081909512adbe559b2c7a completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:40 p.m.