Triple

T7862618
Position Surface form Disambiguated ID Type / Status
Subject Mark Fiennes E182535 entity
Predicate spouse P13 FINISHED
Object Jennifer Lash E304190 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: Jennifer Lash | Statement: [Mark Fiennes, spouse, Jennifer Lash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Lash
Context triple: [Mark Fiennes, spouse, Jennifer Lash]
  • A. Jennifer Lash chosen
    Jennifer Lash was a British novelist and painter known for her literary works and as the matriarch of the Fiennes acting family.
  • B. Lindsay Doran
    Lindsay Doran is an American film producer and studio executive known for championing character-driven, emotionally resonant movies such as "Sense and Sensibility," "Dead Again," and "Stranger Than Fiction."
  • C. Laura Rister
    Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
  • D. Lisa Wilhoit
    Lisa Wilhoit is an American actress best known for her role on the cult teen drama series "My So-Called Life."
  • E. Shauna Shipman
    Shauna Shipman is a central character in the TV series "Yellowjackets," portrayed as a complex survivor whose past trauma and secrets deeply shape the show's present-day storyline.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36be5f408190b82a097b0825c57a completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f32101e08190888a1f44c2224e1e completed April 4, 2026, 11:16 a.m.
Created at: March 30, 2026, 4:53 p.m.