Triple

T10486493
Position Surface form Disambiguated ID Type / Status
Subject Maxine Cooper E247311 entity
Predicate givenName P17 FINISHED
Object Maxine unclear NED1 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 | Statement: [Maxine Cooper, givenName, Maxine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maxine
Context triple: [Maxine Cooper, givenName, Maxine]
  • A. Maxine
    Maxine is a character featured in the film "Once Again."
  • B. Maxine
    Maxine is a central character in the "Soul Food" film and television series, known for her role within the Joseph family’s complex, intergenerational drama.
  • C. Maxine Harmon
    Maxine Harmon is the child of Mary Frances Reynolds, better known as the actress Debbie Reynolds.
  • D. Maxine Brown
    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.
  • E. Maxine Sneed
    Maxine Sneed is a Canadian editor and the former wife of comedian and actor Tommy Chong.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096988ec81908d7518b09256c145 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dc44d7881908391487275b845bf completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:23 p.m.