Triple

T1650909
Position Surface form Disambiguated ID Type / Status
Subject Mary Black E35689 entity
Predicate name P16 FINISHED
Object Mary Black E35689 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: Mary Black | Statement: [Mary Black, name, Mary Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Black
Context triple: [Mary Black, name, Mary Black]
  • A. Mary Black chosen
    Mary Black is an acclaimed Irish folk singer known for her influential solo career and interpretations of traditional and contemporary songs.
  • B. Stevie Crawford
    Stevie Crawford is a Scottish former professional footballer and coach best known as a prolific forward in the Scottish leagues and later as a manager.
  • C. Elizabeth West
    Elizabeth West is a British author and editor best known for her marriage to novelist Salman Rushdie and for co-authoring works related to travel and literature.
  • D. Dolly Sharp
    Dolly Sharp was an American adult film actress best known for her role in the landmark 1972 pornographic film "Deep Throat."
  • E. Joan Barclay
    Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a67c0308190a502fd9c6c0769bc completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a996508190bc227400cb7713ac completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:29 p.m.