Triple

T10219806
Position Surface form Disambiguated ID Type / Status
Subject Bryan Colangelo era E242544 entity
Predicate rosterBuildingApproach P52529 FINISHED
Object trades for established veterans 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: trades for established veterans | Statement: [Bryan Colangelo era, rosterBuildingApproach, trades for established veterans]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rosterBuildingApproach
Context triple: [Bryan Colangelo era, rosterBuildingApproach, trades for established veterans]
  • A. rosterBasis
    Indicates the underlying criterion or rule used to determine which entities are included on a particular roster.
  • B. formsApproachTo chosen
    Indicates that one entity develops or establishes a particular method, strategy, or way of dealing with or addressing another entity or situation.
  • C. rosterRequirement
    Indicates that one entity specifies or imposes a required composition, number, or type of participants that must be included in another entity’s roster.
  • D. seeksToBuild
    Indicates an intention or effort by one entity to create, develop, or establish something.
  • E. compositionalApproach
    Indicates an approach where something is constructed, analyzed, or understood as a combination of smaller constituent parts and their arrangement.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa715a3c8190a9ccee7bcece0346 completed April 6, 2026, 12:43 p.m.
PD Predicate disambiguation batch_69d3955f61f88190b8d37ff645cd44d3 completed April 6, 2026, 11:13 a.m.
Created at: April 6, 2026, 11:08 a.m.