Triple

T23069805
Position Surface form Disambiguated ID Type / Status
Subject Allisha Gray E575160 entity
Predicate fullName P16 FINISHED
Object Allisha Gray NE NERFINISHED

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: Allisha Gray | Statement: [Allisha Gray, fullName, Allisha Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allisha Gray
Context triple: [Allisha Gray, fullName, Allisha Gray]
  • A. Allisha Gray chosen
    Allisha Gray is an American professional basketball player known for her success in both the WNBA and international 3x3 competition.
  • B. Alisha Bailey
    Alisha Bailey is an actress known for her role in the action film "Backdraft 2."
  • C. Aleisha Allen
    Aleisha Allen is an American actress best known for her childhood roles in films such as "Are We There Yet?" and "School of Rock."
  • D. Ashley Hinson
    Ashley Hinson is a Republican U.S. Representative from Iowa who previously served in the Iowa House of Representatives and worked as a television news reporter.
  • E. Alisha Daniels
    Alisha Daniels is a central character in the British TV series "Misfits," known for her initially problematic power related to sexual arousal and her complex personal growth throughout the show.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a676c08190863c034663406018 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.