Triple

T15595069
Position Surface form Disambiguated ID Type / Status
Subject Oh No Not My Baby E374870 entity
Predicate performer P1363 FINISHED
Object Maxine Brown E652800 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: Maxine Brown | Statement: [Oh No Not My Baby, performer, Maxine Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maxine Brown
Context triple: [Oh No Not My Baby, performer, Maxine Brown]
  • A. Maxine Brown chosen
    Maxine Brown is an American soul and R&B singer best known for her 1960s hits like "All in My Mind" and "Funny," which helped define the early soul sound.
  • B. Maxine Harmon
    Maxine Harmon is the child of Mary Frances Reynolds, better known as the actress Debbie Reynolds.
  • C. Maxine Cooper
    Maxine Cooper was an American actress best known for her role as Velda, the loyal secretary in the classic 1955 film noir "Kiss Me Deadly."
  • D. Maxine Jones
    Maxine Jones is an American R&B singer best known as one of the original members of the multi-platinum female vocal group En Vogue.
  • E. Maxine Gray
    Maxine Gray is a central character on the television drama "Judging Amy," known as Amy Gray's strong-willed, socially conscious mother who works as a social worker.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5f9db8819083abf80f01f32b3d completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00bafb761881908e7a891ef390982a completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 4:12 a.m.