Triple

T15959693
Position Surface form Disambiguated ID Type / Status
Subject Abby Lockhart E387024 entity
Predicate givenName P17 FINISHED
Object Abby E627746 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: Abby | Statement: [Abby Lockhart, givenName, Abby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abby
Context triple: [Abby Lockhart, givenName, Abby]
  • A. Abby
    Abby is a central character in the stage play "The Late Christopher Bean," around whom much of the drama and moral conflict revolves.
  • B. Abby
    Abby is a central character in the Coen brothers’ neo-noir crime film "Blood Simple," whose troubled marriage and affair help set off the movie’s spiral of betrayal and violence.
  • C. Abby chosen
    Abby is a feminine given name, often used as a diminutive of Abigail and popular in English-speaking countries.
  • D. Abby
    Abby is a character portrayed by actress Yvonne De Carlo in the Western film "Shotgun."
  • E. Abbie
    Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fe82d081908b5d41bc5a709de2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf16b1b881909768d18b889260da completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:53 a.m.