Triple

T49478
Position Surface form Disambiguated ID Type / Status
Subject Terry Francona E972 entity
Predicate championshipDroughtLengthYears P2598 FINISHED
Object 86 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: 86 | Statement: [Terry Francona, championshipDroughtLengthYears, 86]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: championshipDroughtLengthYears
Context triple: [Terry Francona, championshipDroughtLengthYears, 86]
  • A. endedChampionshipDrought
    Indicates that an entity’s achievement brought an end to a prolonged period without a championship title for a team or organization.
  • B. hasChampionships
    Indicates that one entity possesses or has won one or more championships associated with another entity.
  • C. NBAFinalsAppearances
    Indicates the number of times an entity has participated in the NBA Finals series.
  • D. stanleyCupFinalsAppearance
    Indicates that an entity (typically a hockey team) has participated in the Stanley Cup Finals in a given season or year.
  • E. WorldSeriesChampion
    Indicates that a team or individual has won the championship title in a given season of the World Series.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b6c9eb88190b2fe85e427f4177a completed Feb. 28, 2026, 1:57 a.m.
PD Predicate disambiguation batch_69a24ac0fb088190b7a5e87817e8e747 completed Feb. 28, 2026, 1:54 a.m.
PDg Predicate description generation batch_69a24b6b7638819095a86e2151635a02 completed Feb. 28, 2026, 1:56 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.