Triple

T12513177
Position Surface form Disambiguated ID Type / Status
Subject Douglas Trumbull E299130 entity
Predicate developed P73 FINISHED
Object Showscan
Showscan is a high-frame-rate film format and projection system designed to create exceptionally smooth, immersive motion picture experiences.
E987909 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: Showscan | Statement: [Douglas Trumbull, developed, Showscan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Showscan
Context triple: [Douglas Trumbull, developed, Showscan]
  • A. Proscan
    Proscan is a consumer electronics brand known for producing affordable televisions and related audio-visual equipment.
  • B. Scanners
    Scanners is a 1981 science fiction horror film directed by David Cronenberg, best known for its intense psychic warfare and iconic head-explosion scene.
  • C. Fineview
    Fineview is a residential neighborhood in Pittsburgh, Pennsylvania, known for its steep hills and panoramic views of the city’s North Side and downtown skyline.
  • D. Moviola
    Moviola is a biographical novel by Garson Kanin that dramatizes the history and inner workings of Hollywood’s Golden Age through fictionalized accounts of its legendary figures.
  • E. Picture-Show
    Picture-Show is a poetry collection by Siegfried Sassoon that continues his vivid, often bitter reflections on World War I and its aftermath.
  • 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: Showscan
Triple: [Douglas Trumbull, developed, Showscan]
Generated description
Showscan is a high-frame-rate film format and projection system designed to create exceptionally smooth, immersive motion picture experiences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Showscan
Target entity description: Showscan is a high-frame-rate film format and projection system designed to create exceptionally smooth, immersive motion picture experiences.
  • A. Proscan
    Proscan is a consumer electronics brand known for producing affordable televisions and related audio-visual equipment.
  • B. Scanners
    Scanners is a 1981 science fiction horror film directed by David Cronenberg, best known for its intense psychic warfare and iconic head-explosion scene.
  • C. Fineview
    Fineview is a residential neighborhood in Pittsburgh, Pennsylvania, known for its steep hills and panoramic views of the city’s North Side and downtown skyline.
  • D. Moviola
    Moviola is a biographical novel by Garson Kanin that dramatizes the history and inner workings of Hollywood’s Golden Age through fictionalized accounts of its legendary figures.
  • E. Picture-Show
    Picture-Show is a poetry collection by Siegfried Sassoon that continues his vivid, often bitter reflections on World War I and its aftermath.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbba5fc819082a4171a5a77183a completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:57 p.m.