Triple

T31000654
Position Surface form Disambiguated ID Type / Status
Subject Christmas ’59 E789926 entity
Predicate basedOnOrSourceFor P195279 FINISHED
Object National Lampoon’s Christmas Vacation NE NERFINISHED

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: National Lampoon’s Christmas Vacation | Statement: [Christmas ’59, basedOnOrSourceFor, National Lampoon’s Christmas Vacation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnOrSourceFor
Context triple: [Christmas ’59, basedOnOrSourceFor, National Lampoon’s Christmas Vacation]
  • A. basedOnBy
    Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
  • B. hasBasedOn
    Indicates that one entity is derived from, inspired by, or developed using another entity as its source or foundation.
  • C. isBasedOn
    Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
  • D. basedOnResource
    Indicates that one entity is derived from, created using, or conceptually dependent on another entity as its underlying resource.
  • E. basedOnFactFrom
    Indicates that something is derived, justified, or constructed using factual information obtained from a specified source.
  • 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_69f224c65a348190baaed1c01a29900c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fdb45537288190b6791078d4a6899f completed May 8, 2026, 10 a.m.
PD Predicate disambiguation batch_69fdb39ad96481908376d7def9fafc13 completed May 8, 2026, 9:57 a.m.
PDg Predicate description generation batch_69fdb4544b548190b8971f8055d48caa completed May 8, 2026, 10 a.m.
Created at: April 29, 2026, 8:56 p.m.