Triple

T17511195
Position Surface form Disambiguated ID Type / Status
Subject Born for Greatness E426451 entity
Predicate hasLiveUse P127710 FINISHED
Object performed at concerts 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: performed at concerts | Statement: [Born for Greatness, hasLiveUse, performed at concerts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLiveUse
Context triple: [Born for Greatness, hasLiveUse, performed at concerts]
  • A. hasPresentUse
    Indicates that an entity is currently being used or serving a particular function at the present time.
  • B. hasLowerLevelUse
    Indicates that one entity is used or applied at a more detailed, specific, or subordinate level within the context of another entity’s use.
  • C. hasAdjacentUse
    Indicates that one entity is used or occurs directly next to another in space, time, or sequence.
  • D. hasLivingComponents
    Indicates that an entity includes or is composed of one or more living or biological components.
  • E. hasFormerUse
    Indicates that something previously served a particular function or role that it no longer has.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525c21c88190a9394c4bce006a38 completed April 19, 2026, 3:56 a.m.
PD Predicate disambiguation batch_69e3b4f5fbcc8190a6ea9639bf5650da completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb37d148190b7f38599c06594ee completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:48 a.m.