Triple

T12869269
Position Surface form Disambiguated ID Type / Status
Subject Black Pearl E307804 entity
Predicate notableCrewMember P21967 FINISHED
Object Marty E789312 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: Marty | Statement: [Black Pearl, notableCrewMember, Marty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marty
Context triple: [Black Pearl, notableCrewMember, Marty]
  • A. Marty
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • B. Marty chosen
    Marty is a common diminutive form of the given name Martin, often used as a familiar or informal nickname.
  • C. Marty
    Marty is a common diminutive form of the given name Martha.
  • D. Marty
    Marty is a surname of French origin, notably borne by figures such as André Marty, a prominent French communist and political activist.
  • E. Marty
    Marty is a central character in the 1996 ensemble drama film "Beautiful Girls," known for her youthful charm and pivotal role in the story’s exploration of love and growing up.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.