Triple

T977047
Position Surface form Disambiguated ID Type / Status
Subject Starstruck (1982 film) E21076 entity
Predicate title P38 FINISHED
Object Starstruck
Starstruck is a 1982 Australian musical comedy film about a teenage girl who dreams of becoming a pop star in Sydney’s vibrant early-1980s music scene.
E114289 NE FINISHED

How this triple was built (4 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: Starstruck | Statement: [Starstruck (1982 film), title, Starstruck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starstruck
Context triple: [Starstruck (1982 film), title, Starstruck]
  • A. Love Star
    "Love Star" is a soulful, politically conscious track by Common from his album "Black America Again," blending introspective lyrics with rich, melodic production.
  • B. Starlette
    Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
  • C. Songsong
    Songsong is the main village and administrative center of the island municipality of Rota in the Northern Mariana Islands.
  • D. Sparkle
    Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
  • E. Hollywood Heights
    Hollywood Heights is a hillside residential neighborhood in central Los Angeles known for its winding streets, historic homes, and close proximity to the Hollywood Bowl and Hollywood Boulevard.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Starstruck
Triple: [Starstruck (1982 film), title, Starstruck]
Generated description
Starstruck is a 1982 Australian musical comedy film about a teenage girl who dreams of becoming a pop star in Sydney’s vibrant early-1980s music scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Starstruck
Target entity description: Starstruck is a 1982 Australian musical comedy film about a teenage girl who dreams of becoming a pop star in Sydney’s vibrant early-1980s music scene.
  • A. Love Star
    "Love Star" is a soulful, politically conscious track by Common from his album "Black America Again," blending introspective lyrics with rich, melodic production.
  • B. Starlette
    Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
  • C. Songsong
    Songsong is the main village and administrative center of the island municipality of Rota in the Northern Mariana Islands.
  • D. Sparkle
    Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
  • E. Hollywood Heights
    Hollywood Heights is a hillside residential neighborhood in central Los Angeles known for its winding streets, historic homes, and close proximity to the Hollywood Bowl and Hollywood Boulevard.
  • F. None of above. chosen

Provenance (5 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46344048190b7a13b8f3ad9f455 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170e8a008190a40001224f8dae2a completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac1787a9ac81908f032cd893d3efe8 completed March 7, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ac1807aa388190ad2910966c9d1b04 completed March 7, 2026, 12:20 p.m.
Created at: March 1, 2026, 7:40 p.m.