Triple

T4432199
Position Surface form Disambiguated ID Type / Status
Subject Pat Burrell E95355 entity
Predicate hasRoleInTeamHistory P29914 FINISHED
Object key offensive contributor for Philadelphia Phillies 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: key offensive contributor for Philadelphia Phillies | Statement: [Pat Burrell, hasRoleInTeamHistory, key offensive contributor for Philadelphia Phillies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoleInTeamHistory
Context triple: [Pat Burrell, hasRoleInTeamHistory, key offensive contributor for Philadelphia Phillies]
  • A. hasTeamMember
    Indicates that an entity includes another entity as a member of its team.
  • B. hasHistoricalRoleAs chosen
    Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
  • C. roleInLeagueHistory
    Indicates the specific function, contribution, or significance an entity has had within the historical development or narrative of a league.
  • D. hasHistorySince
    Indicates that an entity has maintained a particular state, condition, or relationship continuously starting from a specified point in time.
  • E. memberTeamAtVariousTimes
    Indicates that an entity has been a member of a particular team during one or more distinct time periods.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3556cd83881908547aa311c4f17fa completed March 13, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69b34f6078cc8190831b89f404198cc5 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:31 p.m.