Triple

T12458607
Position Surface form Disambiguated ID Type / Status
Subject Madagascar E297725 entity
Predicate screenwriter P2831 FINISHED
Object Tom McGrath E413529 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: Tom McGrath | Statement: [Madagascar, screenwriter, Tom McGrath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom McGrath
Context triple: [Madagascar, screenwriter, Tom McGrath]
  • A. Tom McGrath chosen
    Tom McGrath is an American animator, voice actor, and film director best known for co-creating and directing the Madagascar film series and directing the animated feature Megamind.
  • B. John McGrath
    John McGrath is a British theatre director and arts leader known for his innovative, socially engaged work in UK theatre and festivals.
  • C. John McGrath
    John McGrath is a musician known for being a member of the Celtic rock band O'Malley's March.
  • D. Doug McQuaid
    Doug McQuaid is an attorney and perennial candidate in Seattle politics who ran as a lesser-known contender in the 2013 Seattle mayoral election.
  • E. Frank McGrath
    Frank McGrath was an American character actor best known for his roles in Western films and television series, particularly as the scout Charlie Wooster on the TV show "Wagon Train."
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da46a588190bc888fafd6d1eb5d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b5c138819098326891f86eab48 completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:56 p.m.