Triple

T26682486
Position Surface form Disambiguated ID Type / Status
Subject Mr. Brown (National Velvet) E672649 entity
Predicate providesCounterbalanceTo P174339 FINISHED
Object his family’s horse-racing dreams 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: his family’s horse-racing dreams | Statement: [Mr. Brown (National Velvet), providesCounterbalanceTo, his family’s horse-racing dreams]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesCounterbalanceTo
Context triple: [Mr. Brown (National Velvet), providesCounterbalanceTo, his family’s horse-racing dreams]
  • A. hasCounterweightType
    Indicates that an entity is associated with or uses a specific type or category of counterweight.
  • B. forceBalance
    Indicates that the net forces acting on an entity or system are in equilibrium, resulting in no overall acceleration.
  • C. aimsToBalance
    Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
  • D. balancingBodyParts
    Indicates that an entity is using specific body parts to maintain or control physical balance.
  • E. requiresBalancing
    Indicates that one entity or action depends on being offset, equalized, or counteracted by another to maintain a required equilibrium or fairness.
  • 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_69eecda13424819092b17942c4edf722 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6c20f209081909fb9ac8f95069f04 completed May 3, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69f6bd2415fc81908c23c311aebce66f completed May 3, 2026, 3:12 a.m.
PDg Predicate description generation batch_69f6c125695c81909704c67bef4ce5b2 completed May 3, 2026, 3:29 a.m.
Created at: April 27, 2026, 3:20 a.m.