Triple

T25618035
Position Surface form Disambiguated ID Type / Status
Subject Roberto Durán in the 1980 "No Más" rematch E642210 entity
Predicate reputationEffect P159162 FINISHED
Object damaged public image 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: damaged public image | Statement: [Roberto Durán in the 1980 "No Más" rematch, reputationEffect, damaged public image]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reputationEffect
Context triple: [Roberto Durán in the 1980 "No Más" rematch, reputationEffect, damaged public image]
  • A. placeInReputation
    Indicates that an entity holds a particular standing, status, or level within a reputation or ranking system.
  • B. scopeOfReputation
    Indicates the range or extent within which an entity’s reputation is recognized, relevant, or has effect.
  • C. refersToPersonReputation
    Indicates that something is about, concerns, or makes reference to a particular person's reputation.
  • D. laterReputation
    Indicates that an entity’s reputation or status at a later time is being referred to in relation to an earlier point or context.
  • E. associatedWithReputation
    Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
  • F. None of above. chosen

Provenance (4 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_69e77e7a96748190b10f2699041e4e43 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5f9e8734c8190a214685b1647abe1 completed May 2, 2026, 1:19 p.m.
PD Predicate disambiguation batch_69f4938262ac8190b41f922d0407d272 completed May 1, 2026, 11:50 a.m.
PDg Predicate description generation batch_69f497b8abb88190bb672cf6907c4b8d completed May 1, 2026, 12:08 p.m.
Created at: April 21, 2026, 5:01 p.m.