Triple

T11202488
Position Surface form Disambiguated ID Type / Status
Subject Faces E265073 entity
Predicate editedBy P1954 FINISHED
Object Maurice McEndree E916715 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: Maurice McEndree | Statement: [Faces, editedBy, Maurice McEndree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice McEndree
Context triple: [Faces, editedBy, Maurice McEndree]
  • A. Maurice McEndree
    Maurice McEndree is a music producer best known for his work on the track "Shadows."
  • B. Maurice McEndree chosen
    Maurice McEndree is a cinematographer known for his work on the film "Faces."
  • C. Alphonso McAuley
    Alphonso McAuley is an American actor and comedian known for his roles in television comedies and films, including a starring role in the Netflix series "Girlboss."
  • D. Clarence McDonald
    Clarence McDonald is an American keyboardist, producer, and arranger known for his work in R&B, soul, and pop music with numerous prominent artists.
  • E. Maurice Moore
    Maurice Moore was a colonial-era figure known for establishing the settlement that became Brunswick Town in what is now North Carolina.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c36c188190bfa4d5f8e6cbbbea completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5255f7730819087dc4b10565e321d completed April 19, 2026, 6:56 p.m.
Created at: April 8, 2026, 9:29 p.m.