Triple

T13550019
Position Surface form Disambiguated ID Type / Status
Subject Widows E323616 entity
Predicate partOf P40 FINISHED
Object Widows franchise E62103 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: Widows franchise | Statement: [Widows, partOf, Widows franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Widows franchise
Context triple: [Widows, partOf, Widows franchise]
  • A. Widows (2018 film) chosen
    Widows (2018 film) is a 2018 heist thriller directed by Steve McQueen that follows a group of women who plan a robbery to pay off their deceased husbands’ criminal debts.
  • B. Black Widows
    The Black Widows are a covert group of highly trained female assassins and spies in the Marvel Cinematic Universe, created and controlled through the Red Room program.
  • C. Unnamed Widows
    Unnamed Widows are minor, individually unidentified members of the Black Widows group in the Marvel universe.
  • D. Bandidas
    Bandidas is a 2006 action-comedy Western film starring Salma Hayek and Penélope Cruz as unlikely partners who become bank-robbing heroines in 19th-century Mexico.
  • E. Logan
    Logan is a small city in southern West Virginia that serves as a local hub for the surrounding coal-mining region.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78add2b0c8190ade1af991744c4e0 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:46 p.m.