Triple

T17209754
Position Surface form Disambiguated ID Type / Status
Subject Antonio Campos E417692 entity
Predicate spouse P13 FINISHED
Object Sophia Takal E1168728 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: Sophia Takal | Statement: [Antonio Campos, spouse, Sophia Takal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia Takal
Context triple: [Antonio Campos, spouse, Sophia Takal]
  • A. Sophia Takal chosen
    Sophia Takal is an American filmmaker and actress known for her work in independent cinema, including directing the 2019 horror remake "Black Christmas."
  • B. Amy Seimetz
    Amy Seimetz is an American actress, writer, director, and producer known for her work in independent film and television, including co-creating and directing the series "The Girlfriend Experience."
  • C. Tania Saulnier
    Tania Saulnier is a Canadian actress best known for her leading role in the horror-comedy film "Slither."
  • D. Chloe Domont
    Chloe Domont is an American filmmaker and screenwriter best known for writing and directing the 2023 psychological thriller film "Fair Play."
  • E. Lorene Scafaria
    Lorene Scafaria is an American filmmaker, screenwriter, playwright, actress, and singer best known for writing and directing character-driven films such as "Seeking a Friend for the End of the World" and the crime drama "Hustlers."
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc4792081909443df7937768ede completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe217308190b6ae1e98d0c421e4 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.