Triple

T24848055
Position Surface form Disambiguated ID Type / Status
Subject the lamplighter E621809 entity
Predicate responseToSuggestion P106871 FINISHED
Object rejects it because it would break his orders 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: rejects it because it would break his orders | Statement: [the lamplighter, responseToSuggestion, rejects it because it would break his orders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: responseToSuggestion
Context triple: [the lamplighter, responseToSuggestion, rejects it because it would break his orders]
  • A. servingSuggestionRed
    Indicates that something is recommended or suggested to be served together with a red wine.
  • B. madeRecommendation
    Indicates that one entity has suggested or advised another entity to consider a particular option, action, or choice.
  • C. possibleResponse chosen
    Indicates that an entity is a valid or acceptable reply, answer, or reaction to another entity or situation.
  • D. implementsRecommendationOf
    Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
  • E. submitsRecommendationsTo
    Indicates that one entity formally sends or presents recommendations to another entity for consideration or action.
  • 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_69e2fac297e481909d3aedc75f585e42 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f48b9b687881908fd87a2f5fa0b1e7 completed May 1, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69f48060597c8190a4414e4e4fcb1fec completed May 1, 2026, 10:28 a.m.
Created at: April 18, 2026, 5:20 a.m.