Triple

T36994565
Position Surface form Disambiguated ID Type / Status
Subject Charlie Villanueva E915192 entity
Predicate hasUnconventionalPath P27773 FINISHED
Object was recruited for American football before NBA career 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: was recruited for American football before NBA career | Statement: [Charlie Villanueva, hasUnconventionalPath, was recruited for American football before NBA career]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUnconventionalPath
Context triple: [Charlie Villanueva, hasUnconventionalPath, was recruited for American football before NBA career]
  • A. hasUnconventionalProduction
    Indicates that something is created or produced using methods, processes, or practices that deviate from standard or traditional approaches.
  • B. hasPathway chosen
    Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
  • C. hasNumberOfConvergingAvenues
    Indicates the number of distinct avenues that meet or converge at a particular location or junction.
  • D. hasSpecial
    Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
  • E. hasSpecialRules
    Indicates that certain entities are governed by additional or exceptional rules that differ from the standard ones.
  • 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_69f76e8f1a8c81909db172ed31304971 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd6a1c1c4881908090053bc359b181 completed May 8, 2026, 4:44 a.m.
PD Predicate disambiguation batch_69fd696f24d8819091033afacbdaadc5 completed May 8, 2026, 4:41 a.m.
Created at: May 3, 2026, 4:14 p.m.