Triple

T13346321
Position Surface form Disambiguated ID Type / Status
Subject Eric Steelberg E317958 entity
Predicate workedOn P3 FINISHED
Object Men, Women & Children E602476 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: Men, Women & Children | Statement: [Eric Steelberg, workedOn, Men, Women & Children]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Men, Women & Children
Context triple: [Eric Steelberg, workedOn, Men, Women & Children]
  • A. Men, Women & Children chosen
    Men, Women & Children is a 2014 ensemble drama film directed by Jason Reitman that explores how the internet and digital communication affect the relationships and emotional lives of suburban teenagers and their parents.
  • B. Women and Men
    "Women and Men" is a collection of essays by Thomas Wentworth Higginson that explores gender roles, women's rights, and social reform in 19th-century America.
  • C. Men and Women
    "Men and Women" is a 19th-century stage play co-written by Beatrice DeMille that explores themes of morality, social status, and personal downfall.
  • D. Men and Women
    Men and Women is a celebrated 1855 poetry collection by Robert Browning, known for its dramatic monologues and psychological depth.
  • E. Alle
    Alle is a municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f439b3c8190b35fd4d097d65068 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.