Triple

T2576456
Position Surface form Disambiguated ID Type / Status
Subject Al Pacino E57786 entity
Predicate notableWork P4 FINISHED
Object Insomnia E47436 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: Insomnia | Statement: [Al Pacino, notableWork, Insomnia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Insomnia
Context triple: [Al Pacino, notableWork, Insomnia]
  • A. Insomnia chosen
    Insomnia is a 2002 psychological thriller film directed by Christopher Nolan, following a sleep-deprived detective investigating a murder in an Alaskan town where the sun never sets.
  • B. Insomnia
    Insomnia is a horror-fantasy novel by Stephen King that intertwines with his larger Dark Tower universe through shared characters, themes, and metaphysical elements.
  • C. Sleep
    Sleep is an experimental 1963 avant-garde film by Andy Warhol consisting of extended, nearly static footage of poet John Giorno sleeping.
  • D. Sleep
    Sleep is a naturally recurring state of rest in which consciousness is altered and the body and brain undergo essential restorative processes.
  • E. Night and Sleep
    "Night and Sleep" is a symbolist painting by British artist Evelyn De Morgan that allegorically personifies the figures of Night and Sleep in a richly colored, mystical composition.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a606e481909bcea46de468bb99 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6576a0a8819080d9241801675b19 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.