Triple

T13147779
Position Surface form Disambiguated ID Type / Status
Subject Glorious 39 E312383 entity
Predicate stars P1956 FINISHED
Object Jenny Agutter E529543 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: Jenny Agutter | Statement: [Glorious 39, stars, Jenny Agutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenny Agutter
Context triple: [Glorious 39, stars, Jenny Agutter]
  • A. Jenny Agutter chosen
    Jenny Agutter is a British actress known for her roles in films such as "The Railway Children," "Walkabout," and "An American Werewolf in London," as well as in the TV series "Call the Midwife."
  • B. Florence Henderson
    Florence Henderson was an American actress and singer best known for her iconic role as Carol Brady on the television sitcom "The Brady Bunch."
  • C. Jaclyn Smith
    Jaclyn Smith is an American actress and businesswoman best known for her role on the TV series "Charlie's Angels" and for her long-running fashion and home collections sold through Kmart.
  • D. June Lockhart
    June Lockhart is an American actress best known for her roles in classic television series such as "Lassie" and the original "Lost in Space."
  • E. JoBeth Williams
    JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f1191e48190a504299a1f9afb2c completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:10 p.m.