Triple

T985192
Position Surface form Disambiguated ID Type / Status
Subject Love, Antosha E21262 entity
Predicate executiveProducer P7225 FINISHED
Object Tatiana Yelchin E21968 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: Tatiana Yelchin | Statement: [Love, Antosha, executiveProducer, Tatiana Yelchin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatiana Yelchin
Context triple: [Love, Antosha, executiveProducer, Tatiana Yelchin]
  • A. Dakota Fanning
    Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
  • B. Adeena Sussman
    Adeena Sussman is an American-Israeli cookbook author and food writer known for her vibrant, flavor-forward recipes and collaborations with prominent culinary figures.
  • C. Viktor Yelchin chosen
    Viktor Yelchin is best known as the father of the late actor Anton Yelchin, who gained fame for his roles in films such as the rebooted Star Trek series.
  • D. Maya Hawke
    Maya Hawke is an American actress and singer best known for her breakout role as Robin Buckley in the Netflix series "Stranger Things."
  • E. Kirsten Dunst
    Kirsten Dunst is an American actress known for her versatile performances in films ranging from "Interview with the Vampire" and "Bring It On" to the "Spider-Man" trilogy and acclaimed dramas like "Melancholia."
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4959fe48190a78bd811cbc888ab completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac82f9610c819094bc8d9e5f242816 completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:41 p.m.