Triple

T5416953
Position Surface form Disambiguated ID Type / Status
Subject Strangers in the Night E121154 entity
Predicate hasNotableScatSection P3574 FINISHED
Object dooby-dooby-doo ending 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: dooby-dooby-doo ending | Statement: [Strangers in the Night, hasNotableScatSection, dooby-dooby-doo ending]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableScatSection
Context triple: [Strangers in the Night, hasNotableScatSection, dooby-dooby-doo ending]
  • A. hasNotableFeature
    Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
  • B. hasNotableSegment chosen
    Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
  • C. hasNotablePhrase
    Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
  • D. hasSect
    Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
  • E. hasNotableScript
    Indicates that an entity is associated with a script (such as a writing system or screenplay) that is considered notable or significant.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87bff75881909bdfd2cdf7ff5657 completed March 20, 2026, 5:45 p.m.
PD Predicate disambiguation batch_69bd8469f5e48190bbe5c8bdfe8925ea completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:05 p.m.