Triple

T16481560
Position Surface form Disambiguated ID Type / Status
Subject Rory Williams E400329 entity
Predicate timelineAffectedBy P25489 FINISHED
Object crack in the universe 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: crack in the universe | Statement: [Rory Williams, timelineAffectedBy, crack in the universe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timelineAffectedBy
Context triple: [Rory Williams, timelineAffectedBy, crack in the universe]
  • A. timelineUse
    Indicates that one entity utilizes or incorporates another entity within a temporal sequence or schedule (a timeline).
  • B. chronologicalEffect
    Indicates that one event or state occurs as a temporal consequence of, or in sequence after, another.
  • C. areAffectedBy chosen
    Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
  • D. affectedProject
    Indicates that one entity has an impact on, or is influenced by, a particular project.
  • E. effectOnSchedule
    Indicates how an event, action, or condition changes, disrupts, or influences a planned schedule or timeline.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e02b2c881909576a23bfbd3123c completed April 18, 2026, 7:08 a.m.
PD Predicate disambiguation batch_69e22706b0588190a48a951c5211a617 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:13 a.m.