Triple

T8534286
Position Surface form Disambiguated ID Type / Status
Subject Jerry Seeman E202036 entity
Predicate officiatingUniformNumber P2651 FINISHED
Object 70 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: 70 | Statement: [Jerry Seeman, officiatingUniformNumber, 70]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officiatingUniformNumber
Context triple: [Jerry Seeman, officiatingUniformNumber, 70]
  • A. jerseyNumber chosen
    Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
  • B. jerseyNumberStyle
    Indicates the visual design or formatting style used for displaying a player’s jersey number.
  • C. jerseyNumberRules
    Indicates rules or constraints governing which jersey numbers may be assigned or used.
  • D. jerseyNumberCoached
    Indicates that a coach was responsible for coaching a player (or players) who wore a specific jersey number.
  • E. wearsUniformColor
    Indicates that an entity regularly uses or is associated with a specific uniform color as part of its standard attire or dress code.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a0ccd4819097b41d0dfb1c5018 completed March 31, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69cbd111bf988190be98c92a607c6456 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:17 p.m.