Triple

T13515984
Position Surface form Disambiguated ID Type / Status
Subject An Angel at My Table E322760 entity
Predicate screenwriter P2831 FINISHED
Object Laura Jones E224281 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: Laura Jones | Statement: [An Angel at My Table, screenwriter, Laura Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Jones
Context triple: [An Angel at My Table, screenwriter, Laura Jones]
  • A. Laura Jones chosen
    Laura Jones is an Australian screenwriter known for her work on acclaimed films such as "High Tide" (1987) and several literary adaptations.
  • B. Rachel Jones
    Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
  • C. Elizabeth Jones
    Elizabeth Jones was the wife of British novelist Patrick O'Brian, known for her long and supportive partnership during the period he wrote his acclaimed Aubrey–Maturin series.
  • D. Sarah Jones
    Sarah Jones was the wife of William R. Davie, a prominent American Revolutionary War officer, statesman, and founder of the University of North Carolina.
  • E. Sarah Jones
    Sarah Jones is an American actress best known for her role as NASA astronaut Tracy Stevens in the alternate-history science fiction series "For All Mankind."
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce5ecad88190b7c8236969d9abc7 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 9:44 p.m.