Triple

T16646165
Position Surface form Disambiguated ID Type / Status
Subject Chris Judd E404475 entity
Predicate guernseyNumberAtCarlton P2651 FINISHED
Object 5 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: 5 | Statement: [Chris Judd, guernseyNumberAtCarlton, 5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: guernseyNumberAtCarlton
Context triple: [Chris Judd, guernseyNumberAtCarlton, 5]
  • A. guernseyNumberAtPortAdelaide
    Indicates the guernsey (jersey) number that a player wears when playing for the Port Adelaide football club.
  • B. jerseyNumber chosen
    Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
  • C. clubNumberAtManchesterUnited
    Indicates the squad number a player wears or wore while playing for Manchester United.
  • D. jerseyNumberManaged
    Indicates that an entity is responsible for assigning, organizing, or overseeing jersey numbers for players or team members.
  • E. charterNumber
    Indicates the unique official identification number assigned to an organization or entity in its founding or registration charter.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad59540819093765b7a67320f72 completed April 18, 2026, 12:36 p.m.
PD Predicate disambiguation batch_69e296af2f88819092c9ffee4a65d7dd completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:18 a.m.