Triple

T4806849
Position Surface form Disambiguated ID Type / Status
Subject It Takes a Lot to Laugh, It Takes a Train to Cry E106967 entity
Predicate hasAlternateWorkingTitle P39 FINISHED
Object Phantom Engineer (Take 1) 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: Phantom Engineer (Take 1) | Statement: [It Takes a Lot to Laugh, It Takes a Train to Cry, hasAlternateWorkingTitle, Phantom Engineer (Take 1)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlternateWorkingTitle
Context triple: [It Takes a Lot to Laugh, It Takes a Train to Cry, hasAlternateWorkingTitle, Phantom Engineer (Take 1)]
  • A. hasTitleHolderAlternativeName
    Indicates that an entity serving as a title holder is known by an alternative or additional name.
  • B. languageOfAlternativeTitle
    Indicates the language in which an alternative or variant title of an entity is expressed.
  • C. equivalentOrRelatedTitle
    Indicates that two titles are the same or sufficiently similar in meaning, role, or status to be treated as equivalent or closely related.
  • D. originallyTitleOf
    Indicates that one title is the original title from which another work, edition, or localized title is derived.
  • E. alsoKnownAs chosen
    Indicates that one entity is an alternative name, alias, or designation for 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ff981fc819080d4466c6fe06cf3 completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c1c43a48190a65e56b1624a2339 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:23 p.m.