Triple

T834817
Position Surface form Disambiguated ID Type / Status
Subject Macondo E18046 entity
Predicate appearsIn P795 FINISHED
Object In Evil Hour E18040 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: In Evil Hour | Statement: [Macondo, appearsIn, In Evil Hour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In Evil Hour
Context triple: [Macondo, appearsIn, In Evil Hour]
  • A. In Evil Hour chosen
    In Evil Hour is a political novel by Gabriel García Márquez that portrays the tensions and moral decay of a small Colombian town on the brink of violence.
  • B. Force of Evil
    Force of Evil is a 1948 American film noir crime drama, directed by Abraham Polonsky and starring John Garfield, that explores corruption and moral conflict within New York’s numbers racket.
  • C. Infernal Scene
    Infernal Scene is a dramatic early 17th-century painting by Jacob van Swanenburgh depicting a vivid, chaotic vision of hell and demonic torment.
  • D. The Night
    The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
  • E. Midnight Madness
    Midnight Madness is a popular late-night program at the Toronto International Film Festival that showcases genre films such as horror, action, and cult cinema.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abccb94881909cd49aa3fd986b4a completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9b57fc8190981ed4eeb2ac5548 completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.