Triple

T340079
Position Surface form Disambiguated ID Type / Status
Subject black hole no-hair theorem E6813 entity
Predicate mayFailIn P8788 FINISHED
Object theories with additional long-range fields 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: theories with additional long-range fields | Statement: [black hole no-hair theorem, mayFailIn, theories with additional long-range fields]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayFailIn
Context triple: [black hole no-hair theorem, mayFailIn, theories with additional long-range fields]
  • A. mayHold
    Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
  • B. failsWhen chosen
    Indicates that a particular action, process, or condition does not succeed under the specified circumstances or triggers.
  • C. mayExtendTo
    Indicates that something has the potential or permission to reach, continue, or be applied up to a specified limit, scope, or boundary.
  • D. mayReportTo
    Indicates that one entity is permitted or allowed to have a reporting relationship to another entity, such as an employee being allowed to report to a particular manager.
  • E. mayMeet
    Indicates that one entity is permitted or has the possibility to meet or come together with another entity.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae4fcc08190bd4c2bf0149c8b50 completed Feb. 28, 2026, 1:17 p.m.
PD Predicate disambiguation batch_69a2e95067e88190a914a1c1d0283dfc completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.