Triple

T21707519
Position Surface form Disambiguated ID Type / Status
Subject Woody Strode E535808 entity
Predicate spouse P13 FINISHED
Object Tina Ella Strode NE NERFINISHED

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: Tina Ella Strode | Statement: [Woody Strode, spouse, Tina Ella Strode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tina Ella Strode
Context triple: [Woody Strode, spouse, Tina Ella Strode]
  • A. Tina Ella Strode chosen
    Tina Ella Strode was the wife of American actor and athlete Woody Strode, known primarily in relation to his life and career.
  • B. Laurie Strode
    Laurie Strode is the iconic final girl of the Halloween horror franchise, known as Michael Myers’ resilient and resourceful sister and primary adversary.
  • C. Kim Myers
    Kim Myers is an American actress best known for her role in the horror film "A Nightmare on Elm Street 2: Freddy's Revenge."
  • D. Sidney Prescott
    Sidney Prescott is the resilient and resourceful final girl of the Scream horror film series, repeatedly targeted by the Ghostface killers.
  • E. Elizabeth Grimes
    Elizabeth Grimes is a central character in James Baldwin’s novel "Go Tell It on the Mountain," portrayed as a devout yet burdened mother whose past hardships and complex relationships shape much of the story’s emotional and spiritual landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb530779c819080204c3bd2f6afa2 completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.