Triple

T22784407
Position Surface form Disambiguated ID Type / Status
Subject Man's Fate E563925 entity
Predicate notableCharacter P1481 FINISHED
Object Gisors NE NERFINISHED

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: Gisors | Statement: [Man's Fate, notableCharacter, Gisors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gisors
Context triple: [Man's Fate, notableCharacter, Gisors]
  • A. Gisors chosen
    Gisors is the opium-addicted philosophy professor who serves as the introspective, morally ambivalent central figure in André Malraux’s novel *La Condition humaine*.
  • B. Gisors
    Gisors is a historic town in northern France, noted for its medieval castle and strategic location near the Norman frontier.
  • C. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • D. Poissy
    Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
  • E. Melun
    Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2f9ba48190996b4c3926728c03 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.