Triple

T34645065
Position Surface form Disambiguated ID Type / Status
Subject Teen Beach Movie E889670 entity
Predicate fictionalFilmWithinFilm P51564 FINISHED
Object Wet Side Story
Wet Side Story is a fictional 1960s-style beach party musical movie featured within the Disney Channel film Teen Beach Movie.
 E2106385 NE FINISHED

How this triple was built (3 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: Wet Side Story | Statement: [Teen Beach Movie, fictionalFilmWithinFilm, Wet Side Story]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wet Side Story
Triple: [Teen Beach Movie, fictionalFilmWithinFilm, Wet Side Story]
Generated description
Wet Side Story is a fictional 1960s-style beach party musical movie featured within the Disney Channel film Teen Beach Movie.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fictionalFilmWithinFilm
Context triple: [Teen Beach Movie, fictionalFilmWithinFilm, Wet Side Story]
  • A. filmWithinFilm chosen
    Indicates that one film is depicted, referenced, or shown as existing within the narrative of another film.
  • B. filmWithinFilmTitle
    Indicates that a title refers to a fictional film that appears within another (primary) film.
  • C. hasFictionalFilmWithinPlay
    Indicates that within a theatrical play, there is a fictional film that exists or is depicted as part of the play’s narrative or structure.
  • D. hasFictionalFrame
    Indicates that one entity is presented or interpreted within the context of a fictional narrative, scenario, or imaginative framework provided by another entity.
  • E. basedInFilm
    Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
  • F. None of above.

Provenance (6 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_69f349d825c88190bfc6170ac9281260 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fec5c503808190bde0b1829ea43071 completed May 9, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3748f3b1608190891b64febda093cf completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a3749ba56f48190a61b653a4a0af817 completed June 21, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_6a374a3c4f248190873958f2f5f5f62e completed June 21, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69fec535dd6c8190a6ab85201f5a04a9 completed May 9, 2026, 5:25 a.m.
Created at: May 1, 2026, 2:04 a.m.