Triple

T15613407
Position Surface form Disambiguated ID Type / Status
Subject Rafael Pérez E375353 entity
Predicate allegedMisconduct P83746 FINISHED
Object planting evidence 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: planting evidence | Statement: [Rafael Pérez, allegedMisconduct, planting evidence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allegedMisconduct
Context triple: [Rafael Pérez, allegedMisconduct, planting evidence]
  • A. allegedAction
    Indicates that an action is claimed or asserted to have occurred, typically without being proven or confirmed.
  • B. hasAllegationsOf chosen
    Indicates that one entity is accused or suspected of engaging in certain actions, behaviors, or misconduct, but without implying that these accusations are proven.
  • C. allegedClause
    Indicates that a clause or statement is claimed or asserted to be true, typically without confirmed proof or legal determination.
  • D. hasAllegedDetail
    Indicates that an entity is associated with a detail or piece of information that is claimed or reported but not confirmed as factual.
  • E. allegedUse
    Indicates that something is claimed or suspected to have been used, without confirming that the use actually occurred.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e83407c8190abbcd4b7fab0ff85 completed April 16, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69deda844af081909e658ebc9d9b403d completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:13 a.m.