Triple

T6416721
Position Surface form Disambiguated ID Type / Status
Subject Gena Rowlands E127846 entity
Predicate hasRole P161 FINISHED
Object Gloria Swenson in Gloria E265077 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: Gloria Swenson in Gloria | Statement: [Gena Rowlands, hasRole, Gloria Swenson in Gloria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria Swenson in Gloria
Context triple: [Gena Rowlands, hasRole, Gloria Swenson in Gloria]
  • A. Gloria
    Gloria is a central human character in the 2023 film "Barbie," portrayed as a Mattel employee and mother whose personal struggles and imagination help bridge the real world with Barbie Land.
  • B. Gloria chosen
    Gloria is a 1980 American crime drama film written and directed by John Cassavetes, starring Gena Rowlands as a tough ex-mobster’s girlfriend protecting a young boy from gangsters.
  • C. Gloria
    Gloria is a feminine given name of Latin origin meaning "glory," borne by numerous notable figures in entertainment, politics, and literature.
  • D. Gloria
    Gloria is a fictional character featured in Green Day’s song “¡Viva La Gloria!” from their rock opera album 21st Century Breakdown.
  • E. Gloria
    Gloria is a central character in the 2016 sci-fi dark comedy film "Colossal," where she discovers a mysterious connection between herself and a giant monster wreaking havoc in Seoul.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068ea06b08190901e0c0a18fd5170 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640ce3f9481908fa96fb5b2bc8db9 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:42 p.m.