Triple

T14805751
Position Surface form Disambiguated ID Type / Status
Subject Dark Water E348029 entity
Predicate leadActor P1507 FINISHED
Object Jennifer Connelly E23202 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 Connelly | Statement: [Dark Water, leadActor, Jennifer Connelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Connelly
Context triple: [Dark Water, leadActor, Jennifer Connelly]
  • A. Jennifer Connelly chosen
    Jennifer Connelly is an American actress acclaimed for her versatile performances in films ranging from independent dramas to major Hollywood productions, including her Oscar-winning role in "A Beautiful Mind."
  • B. Michelle Ryan
    Michelle Ryan is best known as the wife of former NFL head coach and defensive coordinator Rex Ryan.
  • C. Jessica Witherspoon
    Jessica Witherspoon is a fictional character known primarily as a member of Gus Witherspoon’s family in the television series "Our House."
  • D. Julie Hayden
    Julie Hayden was an American short story writer and journalist known for her acclaimed collection "The Lists of the Past" and her work at The New Yorker.
  • E. Jessica Rains
    Jessica Rains is an American actress and producer, best known as the daughter of acclaimed British actor Claude Rains and for her work in film and television during the late 20th century.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf32666081908e84f985c47eb963 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9685aa5c8190b4e4d82af80f36f8 completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:34 a.m.