Triple

T1869162
Position Surface form Disambiguated ID Type / Status
Subject Eve Harrington E34992 entity
Predicate hasNotableScene P7326 FINISHED
Object confrontation with Addison DeWitt in hotel room 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: confrontation with Addison DeWitt in hotel room | Statement: [Eve Harrington, hasNotableScene, confrontation with Addison DeWitt in hotel room]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableScene
Context triple: [Eve Harrington, hasNotableScene, confrontation with Addison DeWitt in hotel room]
  • A. notableScene chosen
    Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
  • B. hasNotableSegment
    Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
  • C. hasNotableFeature
    Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
  • D. hasNotableSubject
    Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
  • E. hasNotableReference
    Indicates that one entity makes a significant or noteworthy mention of, or allusion to, 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb16c09e48190a345c95eab59fd87 completed March 7, 2026, 5:02 a.m.
PD Predicate disambiguation batch_69abafe02c3c819093a4744b476106ca completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.