Triple

T6686109
Position Surface form Disambiguated ID Type / Status
Subject Roberto Firmino E152101 entity
Predicate honoursWithBrazil P69966 FINISHED
Object Copa América 2019 winner 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: Copa América 2019 winner | Statement: [Roberto Firmino, honoursWithBrazil, Copa América 2019 winner]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: honoursWithBrazil
Context triple: [Roberto Firmino, honoursWithBrazil, Copa América 2019 winner]
  • A. honourOf
    Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
  • B. honoursAsPlayer chosen
    Indicates that one entity has received awards, recognitions, or honours specifically for their role or achievements as a player.
  • C. honoredOn
    Indicates that an entity is formally recognized, celebrated, or commemorated on a specific date or occasion.
  • D. honoredThrough
    Indicates that one entity is recognized or commemorated by means of another entity, event, or action.
  • E. honourType
    Indicates the specific category or classification of an honour or award associated with an 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cd0fa5188190a23281cb09d98139 completed March 27, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69c6ad0d3c1081908dadff7a6a054123 completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:04 p.m.