Triple

T20472681
Position Surface form Disambiguated ID Type / Status
Subject Waking the Dead E502230 entity
Predicate starring P1507 FINISHED
Object Jennifer Connelly 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: Jennifer Connelly | Statement: [Waking the Dead, starring, Jennifer Connelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Connelly
Context triple: [Waking the Dead, starring, 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 a British actress best known for her role as Zoe Slater in the BBC soap opera "EastEnders" and for starring in the TV series "Bionic Woman."
  • C. Michelle Ryan
    Michelle Ryan is best known as the wife of former NFL head coach and defensive coordinator Rex Ryan.
  • D. Jessica Witherspoon
    Jessica Witherspoon is a fictional character known primarily as a member of Gus Witherspoon’s family in the television series "Our House."
  • E. 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.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69962d810819091bb13fe73250e24 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.