Triple

T6795428
Position Surface form Disambiguated ID Type / Status
Subject Rory Kinnear E156041 entity
Predicate notableWork P4 FINISHED
Object Men E375744 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 | Statement: [Rory Kinnear, notableWork, Men]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Men
Context triple: [Rory Kinnear, notableWork, Men]
  • A. Men
    Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
  • B. Men chosen
    Men is a 2022 British folk horror film written and directed by Alex Garland that follows a grieving woman’s unsettling retreat to the English countryside.
  • C. Male
    Male is the capital and most populous city of the Maldives, located on the southern edge of North Malé Atoll in the Indian Ocean.
  • D. 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.
  • E. Men and Women
    Men and Women is a celebrated 1855 poetry collection by Robert Browning, known for its dramatic monologues and psychological depth.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c6e7dc8190b1f33372d047baba completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9354448190890846c2e84bb22c completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.