Triple

T13997533
Position Surface form Disambiguated ID Type / Status
Subject Chicago Hope E336737 entity
Predicate portrayedBy P1507 FINISHED
Object Carla Gugino E71289 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: Carla Gugino | Statement: [Chicago Hope, portrayedBy, Carla Gugino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carla Gugino
Context triple: [Chicago Hope, portrayedBy, Carla Gugino]
  • A. Carla Gugino chosen
    Carla Gugino is an American actress known for her versatile film and television roles, including prominent performances in projects like "Spy Kids," "Sin City," and "The Haunting of Hill House."
  • B. Karen Rodriguez
    Karen Rodriguez is an actress known for her role in the television series "Swarm."
  • C. Rebecca Tilly
    Rebecca Tilly is a member of the Tilly family and the sister of actress and author Meg Tilly.
  • D. Gina Torres
    Gina Torres is an American actress known for her roles in television series such as "Suits," "Firefly," and "Hannibal."
  • E. Julia Carpenter
    Julia Carpenter is a Marvel Comics superheroine best known as the second Spider-Woman and later as the psychic web-wielding heroine Arachne and the new Madame Web.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0934b74819094ec7309c23a3e2a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:19 p.m.