Triple

T11990789
Position Surface form Disambiguated ID Type / Status
Subject Horace Somnusson E285398 entity
Predicate timeLoopResidence P102756 FINISHED
Object Cairnholm time loop 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: Cairnholm time loop | Statement: [Horace Somnusson, timeLoopResidence, Cairnholm time loop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeLoopResidence
Context triple: [Horace Somnusson, timeLoopResidence, Cairnholm time loop]
  • A. timeLoopMechanism
    Indicates a relationship where events or states are repeatedly reset or cycled through the same temporal sequence due to a mechanism that loops time.
  • B. hasResidenceTime
    Indicates the duration for which something remains or stays within a particular place, system, or state.
  • C. timeLoopController
    Indicates a controlling relationship where one entity manages, initiates, or regulates a repeating cycle of time or events affecting another entity.
  • D. locationPeriod
    Indicates that an entity is associated with being at a particular location during a specified time period.
  • E. timePeriod
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903afe4388190a2cf2328e85adf9b completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d902abca70819098291aa51b593708 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d903a8695c8190bfa9d7ca50834f9f completed April 10, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:46 p.m.