Triple

T3569217
Position Surface form Disambiguated ID Type / Status
Subject Spy Kids 3-D: Game Over E75526 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: [Spy Kids 3-D: Game Over, portrayedBy, Carla Gugino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carla Gugino
Context triple: [Spy Kids 3-D: Game Over, 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. Gina Torres
    Gina Torres is an American actress known for her roles in television series such as "Suits," "Firefly," and "Hannibal."
  • D. Linda Cardellini
    Linda Cardellini is an American actress known for her versatile roles in film and television, including prominent performances in "Freaks and Geeks," "ER," "Bloodline," and as Laura Barton in the Marvel Cinematic Universe.
  • E. Heather Lind
    Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c083ac8190a71cd9ede2114cac completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48825d5a08190b57407b660fb5954 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:21 p.m.