Triple

T169414
Position Surface form Disambiguated ID Type / Status
Subject Gillian Armstrong E3085 entity
Predicate directorOf P537 FINISHED
Object Little Women (1994 film) E21075 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: Little Women (1994 film) | Statement: [Gillian Armstrong, directorOf, Little Women (1994 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Women (1994 film)
Context triple: [Gillian Armstrong, directorOf, Little Women (1994 film)]
  • A. Little Women (1994 film) chosen
    Little Women (1994 film) is a 1994 period drama adaptation of Louisa May Alcott’s classic novel, acclaimed for its ensemble cast and sensitive direction by Gillian Armstrong.
  • B. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • C. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • D. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • E. Saving Mr. Banks
    Saving Mr. Banks is a biographical drama film that explores the contentious collaboration between author P. L. Travers and Walt Disney during the adaptation of her novel Mary Poppins.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b6f4f88190b1264bbbeb19a29e completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e3c131cc81909092b2aab26cd1ba completed Feb. 28, 2026, 12:46 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.