Triple

T10279373
Position Surface form Disambiguated ID Type / Status
Subject Clarence Rowland E241053 entity
Predicate positionInBaseball P93237 FINISHED
Object manager 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: manager | Statement: [Clarence Rowland, positionInBaseball, manager]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionInBaseball
Context triple: [Clarence Rowland, positionInBaseball, manager]
  • A. positionPlayedInBaseball
    Indicates the specific defensive role or fielding position that a person plays in a game of baseball.
  • B. battingPosition
    Indicates the specific order or spot in which a player appears in a batting lineup or batting order.
  • C. roleInBaseballHistory
    Indicates the specific part or contribution an entity has within the broader narrative or development of baseball history.
  • D. isPartOfBaseballPyramid
    Indicates that one baseball-related entity occupies a subordinate or component level within a hierarchical structure whose higher levels conceptually encompass or organize it, forming a "baseball pyramid."
  • E. BabeRuthRole
    Indicates that an entity holds the specific role or position associated with Babe Ruth (e.g., as a legendary baseball player or cultural figure) in relation to 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69d4d1f117708190928f92ae2611d724 completed April 7, 2026, 9:44 a.m.
PDg Predicate description generation batch_69d4d7cada7881908beba55a1dc9ecb9 completed April 7, 2026, 10:09 a.m.
Created at: April 6, 2026, 11:38 a.m.