Triple

T15390713
Position Surface form Disambiguated ID Type / Status
Subject Superstore E368035 entity
Predicate executiveProducer P7225 FINISHED
Object America Ferrera E75090 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: America Ferrera | Statement: [Superstore, executiveProducer, America Ferrera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: America Ferrera
Context triple: [Superstore, executiveProducer, America Ferrera]
  • A. America Ferrera chosen
    America Ferrera is an American actress and producer best known for her breakthrough title role in the television series "Ugly Betty" and for her work in film, television, and advocacy for Latinx representation.
  • B. Leticia Ferrer
    Leticia Ferrer is the daughter of renowned American acting teacher and actress Uta Hagen.
  • C. Giovanna Ferrer
    Giovanna Ferrer is the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
  • D. Lorena Bernal
    Lorena Bernal is an Argentine-born Spanish actress, model, and former Miss Spain who has also worked as a television presenter.
  • E. Raquel Roxanne Diaz
    Raquel Roxanne Diaz is an American television and radio personality best known as Rocsi Diaz, a former co-host of BET’s music video countdown show 106 & Park.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7727a081908eff45bbc1633c8a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff219a285481909eef3ec6e523573c completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:19 a.m.