Triple

T34192146
Position Surface form Disambiguated ID Type / Status
Subject Allegiance E877137 entity
Predicate hasFilmCapture P83514 FINISHED
Object Allegiance (2016 pro-shot film)
Allegiance (2016 pro-shot film) is a professionally filmed stage capture of the Broadway musical "Allegiance," which stars George Takei and tells a multigenerational story about Japanese American internment during World War II.
 E1264826 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: Allegiance (2016 pro-shot film) | Statement: [Allegiance, hasFilmCapture, Allegiance (2016 pro-shot film)]
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: Allegiance (2016 pro-shot film)
Triple: [Allegiance, hasFilmCapture, Allegiance (2016 pro-shot film)]
Generated description
Allegiance (2016 pro-shot film) is a professionally filmed stage capture of the Broadway musical "Allegiance," which stars George Takei and tells a multigenerational story about Japanese American internment during World War II.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFilmCapture
Context triple: [Allegiance, hasFilmCapture, Allegiance (2016 pro-shot film)]
  • A. hasVideoRecordingAvailableOn
    Indicates that a video recording of something is accessible or hosted on a specified platform, service, or medium.
  • B. hasVideoRecording chosen
    Indicates that there exists an associated video recording capturing or documenting the referenced entity or event.
  • C. hasCamera
    Indicates that an entity is equipped with or possesses a camera.
  • D. hasPhotogenicFeature
    Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
  • E. hasVideoInput
    Indicates that an entity is equipped with or supports a video input connection or capability.
  • 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_69f349af20a4819089ac24d28f2d8112 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff63e6b61081909c648bf0ff279481 completed May 9, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36cc81d4d08190b633cda1b47492e9 completed June 20, 2026, 5:23 p.m.
NEDg Description generation batch_6a36cd1790e48190bc8b8c0678216f23 completed June 20, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_6a36cebef4d0819092d4d5b8c75bfd32 completed June 20, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69ff6381867881908ae0545df4b71df5 completed May 9, 2026, 4:40 p.m.
Created at: May 1, 2026, 1:55 a.m.