Triple

T12902236
Position Surface form Disambiguated ID Type / Status
Subject Innocence Network E308638 entity
Predicate name P16 FINISHED
Object Innocence Network E308638 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: Innocence Network | Statement: [Innocence Network, name, Innocence Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Innocence Network
Context triple: [Innocence Network, name, Innocence Network]
  • A. Innocence Network chosen
    The Innocence Network is a coalition of independent legal organizations worldwide dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system to prevent future injustices.
  • B. Innocence
    Innocence is a film score composed by Australian jazz musician and composer Paul Grabowsky for the 2000 Australian drama film of the same name.
  • C. Innocent Voices
    Innocent Voices is a 2004 Mexican-American war drama film that portrays the experiences of a young boy growing up amid the Salvadoran Civil War.
  • D. The Online Network
    The Online Network was a short-lived digital platform created to revive and stream classic American soap operas such as "All My Children" and "One Life to Live" online.
  • E. Innocenti
    Innocenti was an Italian automobile manufacturer best known for producing small cars and licensed versions of models from companies like BMC and later British Leyland.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971820e008190bf8bc7c392c8bcbb completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a563a84c8190a75d830653661518 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.