Triple

T5194992
Position Surface form Disambiguated ID Type / Status
Subject Paul Grabowsky E117247 entity
Predicate notableWork P4 FINISHED
Object Shiner
Shiner is a film scored by Australian composer Paul Grabowsky, noted for its atmospheric and jazz-influenced soundtrack.
 E501587 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: Shiner | Statement: [Paul Grabowsky, notableWork, Shiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shiner
Context triple: [Paul Grabowsky, notableWork, Shiner]
  • A. Sweetwater
    Sweetwater is a small West Texas city best known for its historic role in the oil and cattle industries and for hosting one of the world’s largest rattlesnake roundups.
  • B. Southern Comfort
    Southern Comfort is a 1981 action-thriller film about a group of National Guard soldiers lost in the Louisiana bayou who are hunted by local Cajuns after a violent misunderstanding.
  • C. Double Oak
    Double Oak is a small suburban town in Denton County, Texas, known for its semi-rural character and residential communities.
  • D. Overholt
    Overholt is a surname most notably associated with the American distilling family behind Old Overholt rye whiskey.
  • E. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • 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: Shiner
Triple: [Paul Grabowsky, notableWork, Shiner]
Generated description
Shiner is a film scored by Australian composer Paul Grabowsky, noted for its atmospheric and jazz-influenced soundtrack.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shiner
Target entity description: Shiner is a film scored by Australian composer Paul Grabowsky, noted for its atmospheric and jazz-influenced soundtrack.
  • A. Sweetwater
    Sweetwater is a small West Texas city best known for its historic role in the oil and cattle industries and for hosting one of the world’s largest rattlesnake roundups.
  • B. Southern Comfort
    Southern Comfort is a 1981 action-thriller film about a group of National Guard soldiers lost in the Louisiana bayou who are hunted by local Cajuns after a violent misunderstanding.
  • C. Double Oak
    Double Oak is a small suburban town in Denton County, Texas, known for its semi-rural character and residential communities.
  • D. Overholt
    Overholt is a surname most notably associated with the American distilling family behind Old Overholt rye whiskey.
  • E. Bevin
    Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79f2935c81909b4e33904b89e818 completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09a347081909c2c6c4a2362d7dd completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee62f493881909e8b484534e75359 completed March 21, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69bee6d1eae481909f3861b7c0adc2fd completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.