Triple

T23900483
Position Surface form Disambiguated ID Type / Status
Subject Real Massamá E601027 entity
Predicate developedPlayerRole P154006 FINISHED
Object winger 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: winger | Statement: [Real Massamá, developedPlayerRole, winger]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developedPlayerRole
Context triple: [Real Massamá, developedPlayerRole, winger]
  • A. developedPlayer
    Indicates that one entity (such as a coach, club, or organization) was responsible for training, nurturing, or improving the skills and abilities of a player entity.
  • B. developedPlayerFor
    Indicates that one entity (such as a coach, club, or organization) was responsible for training, nurturing, or advancing the skills and career of a particular player.
  • C. associatedPlayerRole
    Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
  • D. designedRole
    Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
  • E. developedPlayersFrom
    Indicates that one entity has trained, nurtured, or otherwise contributed to the growth and development of players originating from another entity.
  • 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_69e295364a488190bcac702e9bb7f764 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cdddca088190b6c26df984a143ad completed April 29, 2026, 9:22 a.m.
PD Predicate disambiguation batch_69f1614e24b48190a1c8fb5b7c75ee0f completed April 29, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f167dca3608190ace9d2eef56b2af6 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 8:26 p.m.