Triple

T14644886
Position Surface form Disambiguated ID Type / Status
Subject 9 to 5 E343819 entity
Predicate starring P1507 FINISHED
Object Elizabeth Wilson E343508 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: Elizabeth Wilson | Statement: [9 to 5, starring, Elizabeth Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Wilson
Context triple: [9 to 5, starring, Elizabeth Wilson]
  • A. Elizabeth Wilson
    Elizabeth Wilson was the wife of American composer and playwright Meredith Willson, known for her association with the creator of the Broadway musical "The Music Man."
  • B. Elizabeth Wilson chosen
    Elizabeth Wilson was an American actress known for her versatile character roles on stage, film, and television, including performances in "The Graduate" and "9 to 5."
  • C. Anna Wilson
    Anna Wilson is known as the sister of former child actress and writer Mara Wilson.
  • D. Sarah Wilson
    Sarah Wilson is the namesake of Wilson College, historically recognized for her significance to the institution’s founding or early development.
  • E. Emily Wilkinson
    Emily Wilkinson is an American social media personality and former patient coordinator best known as the wife of NFL quarterback Baker Mayfield.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ea6d8481908e6331ca173c646b completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ebbc67c8190bd930a2773edb5b2 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 1:26 a.m.