Triple

T9997882
Position Surface form Disambiguated ID Type / Status
Subject One Two E197248 entity
Predicate associatedWith P37 FINISHED
Object Stella 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: Stella | Statement: [One Two, associatedWith, Stella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stella
Context triple: [One Two, associatedWith, Stella]
  • A. Stella
    Stella is the central character in the British television drama film "Gideon's Daughter," around whom the story's emotional and familial conflicts revolve.
  • B. Stella
    Stella is a feminine given name of Latin origin meaning "star," used internationally and popularized in various cultures and media.
  • C. Stella
    Stella is a 1990 American drama film, written by Robert Getchell and starring Bette Midler, about a working-class mother who sacrifices everything for her daughter's future.
  • D. Stella
    Stella is a 1955 Greek drama film directed by Michael Cacoyannis, renowned for its tragic story of a fiercely independent woman and its iconic performance by Melina Mercouri.
  • E. Stella
    Stella is a British comedy-drama television series created by and starring Ruth Jones, set in a small Welsh town and centered on the life of a warm-hearted single mother.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8aa1a881909879a694496f11a5 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258439fe88190b17da69f542ecf61 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:51 p.m.