Triple

T12729329
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Lash E304190 entity
Predicate name P16 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: [Jennifer Lash, name, Jennifer Lash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Lash
Context triple: [Jennifer Lash, name, 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. Jen Lindley
    Jen Lindley is a central character on the teen drama series "Dawson's Creek," known as the sophisticated New York transplant whose troubled past and complex relationships challenge the small-town norms of Capeside.
  • C. Laura Malinger
    Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
  • D. Lisa Loomer
    Lisa Loomer is an American playwright and screenwriter known for her socially conscious works in theater and film.
  • E. 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."
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249a972081909b30302865396eb1 completed May 8, 2026, 5:59 p.m.
Created at: April 9, 2026, 5:25 p.m.