Triple

T30089979
Position Surface form Disambiguated ID Type / Status
Subject Ron Barassi E764702 entity
Predicate premiershipsAsPlayer P126354 FINISHED
Object 6 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: 6 | Statement: [Ron Barassi, premiershipsAsPlayer, 6]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: premiershipsAsPlayer
Context triple: [Ron Barassi, premiershipsAsPlayer, 6]
  • A. numberOfAFLChampionshipsAsPlayer chosen
    Indicates the count of AFL championships that a given entity has won in their role as a player.
  • B. premiershipYearAsPlayer
    Indicates the year in which an individual participated as a player on a team that won a premiership or championship title.
  • C. AFLPremiershipsAsPlayerWith
    Indicates that a person has won one or more AFL premierships while playing for a specified team.
  • D. numberOfPremiershipsAsCaptain
    Indicates the number of premiership titles an entity has won while serving in the role of captain.
  • E. premiershipsAFL
    Indicates a relationship where an AFL club has won a specified number of league premierships.
  • 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_69f22473c0fc8190a926a8051b3b378b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6cee45590819086e489bfccbe4ac3 completed May 3, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69f6cc1188708190b8f0f56e595e6057 completed May 3, 2026, 4:16 a.m.
Created at: April 29, 2026, 7:05 p.m.