Triple

T481627
Position Surface form Disambiguated ID Type / Status
Subject Carl Yastrzemski E9179 entity
Predicate sportNumberRetired P895 FINISHED
Object 8 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: 8 | Statement: [Carl Yastrzemski, sportNumberRetired, 8]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sportNumberRetired
Context triple: [Carl Yastrzemski, sportNumberRetired, 8]
  • A. leagueRetiredNumberBy
    Indicates that a sports league has officially retired a specific jersey number in honor of a particular person or entity.
  • B. retiredNumber chosen
    Indicates that an entity (typically a team or organization) has formally withdrawn a specific number from future use, usually to honor a particular individual or achievement associated with that number.
  • C. retiredNumbers
    Indicates that a team has officially retired a specific player’s jersey number, taking it out of regular use in honor of that player.
  • D. retiredNumberHonoree
    Indicates that an entity is honored by having its jersey or identification number formally retired by a team or organization.
  • E. retiredNumbersCount
    Indicates the number of jersey or identification numbers that have been officially retired from use.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f05a7f6c819082b4a5a3e69468a6 completed Feb. 28, 2026, 1:40 p.m.
PD Predicate disambiguation batch_69a2edf321288190b5d560f75782c2cb completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.