Triple

T16549712
Position Surface form Disambiguated ID Type / Status
Subject Louise Newbury E402037 entity
Predicate spouseWork P4765 FINISHED
Object Twister
Twister is a 1996 American disaster film about storm chasers pursuing powerful tornadoes in Oklahoma.
 E382294 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: Twister | Statement: [Louise Newbury, spouseWork, Twister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Twister
Context triple: [Louise Newbury, spouseWork, Twister]
  • A. Twister
    "Twister" is a song from Mariah Carey's 2001 album *Glitter*, reflecting on loss and emotional vulnerability.
  • B. Twister
    Twister is a wooden roller coaster located at the Gröna Lund amusement park in Stockholm, Sweden.
  • C. Twister
    Twister is a 1996 disaster film about storm chasers pursuing powerful tornadoes, noted for its groundbreaking special effects and starring Bill Paxton and Helen Hunt.
  • D. Twister
    Twister is the official mascot of the Cincinnati Cyclones minor league ice hockey team, known for entertaining fans at games and community events.
  • E. Twisters
    Twisters is a 2024 disaster film that serves as a modern follow-up to the 1996 tornado-chasing movie Twister, featuring new characters confronting extreme weather phenomena.
  • 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: Twister
Triple: [Louise Newbury, spouseWork, Twister]
Generated description
Twister is a 1996 American disaster film about storm chasers pursuing powerful tornadoes in Oklahoma.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Twister
Target entity description: Twister is a 1996 American disaster film about storm chasers pursuing powerful tornadoes in Oklahoma.
  • A. Twister chosen
    Twister is a 1996 disaster film about storm chasers pursuing powerful tornadoes, noted for its groundbreaking special effects and starring Bill Paxton and Helen Hunt.
  • B. Twister
    "Twister" is a song from Mariah Carey's 2001 album *Glitter*, reflecting on loss and emotional vulnerability.
  • C. Twister
    Twister is the official mascot of the Cincinnati Cyclones minor league ice hockey team, known for entertaining fans at games and community events.
  • D. Twister
    Twister is a wooden roller coaster located at the Gröna Lund amusement park in Stockholm, Sweden.
  • E. Twisters
    Twisters is a 2024 disaster film that serves as a modern follow-up to the 1996 tornado-chasing movie Twister, featuring new characters confronting extreme weather phenomena.
  • F. None of above.

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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc323a88190b5c2a34de0a3c7f0 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b6ca44819085145eb48356e7b4 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00687d228081909d0a39f2c23d4e4d completed May 10, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_6a006907419881909e8f71714bbe054a completed May 10, 2026, 11:16 a.m.
Created at: April 10, 2026, 5:15 a.m.