Triple

T18092444
Position Surface form Disambiguated ID Type / Status
Subject Association in Defence of the Wrongly Convicted E433003 entity
Predicate worksOnIssues P2453 FINISHED
Object eyewitness misidentification LITERAL 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: eyewitness misidentification | Statement: [Association in Defence of the Wrongly Convicted, worksOnIssues, eyewitness misidentification]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worksOnIssues
Context triple: [Association in Defence of the Wrongly Convicted, worksOnIssues, eyewitness misidentification]
  • A. worksOnIssue chosen
    Indicates that an entity (typically a person or team) is actively engaged in addressing, resolving, or contributing work toward a specific issue.
  • B. worksThrough
    Indicates that one entity performs an action, causes an effect, or achieves a result by using, employing, or acting via another entity as an intermediary or means.
  • C. worksFor
    Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
  • D. worksWhen
    Indicates that one entity functions or operates correctly only under the conditions or context defined by another entity.
  • E. worksAgainst
    Indicates that one entity actively opposes, counteracts, or undermines the goals, effects, or interests of another entity.
  • F. None of above.

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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1972a881908072990de0715547 completed April 19, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69e4330e1f2881908b2506d47c48736b completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:27 a.m.