Triple

T15591926
Position Surface form Disambiguated ID Type / Status
Subject Ransom 2 E374762 entity
Predicate hasPart P35 FINISHED
Object Perfect Pint
Perfect Pint is a short film segment featured within the 2017 Tamil anthology movie "Ransom 2."
E1165366 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: Perfect Pint | Statement: [Ransom 2, hasPart, Perfect Pint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perfect Pint
Context triple: [Ransom 2, hasPart, Perfect Pint]
  • A. Down at the Corner Beer Joint
    "Down at the Corner Beer Joint" is a song segment or movement that forms part of Willie Nelson’s concept album *Phases and Stages*.
  • B. Drinkin’ Thing
    "Drinkin’ Thing" is a country song best known for its 1974 hit recording by Gary Stewart, exemplifying the honky-tonk style and themes of heartache and alcohol-fueled coping.
  • C. Hoppy Daze
    Hoppy Daze is a classic Warner Bros. Looney Tunes cartoon short featuring the kangaroo character Hippety Hopper in a comedic storyline.
  • D. Un bon bock
    Un bon bock is an early French animated film created by pioneer Émile Reynaud, known for its hand-drawn images projected using his Théâtre Optique system.
  • E. Drink a Beer
    "Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
  • 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: Perfect Pint
Triple: [Ransom 2, hasPart, Perfect Pint]
Generated description
Perfect Pint is a short film segment featured within the 2017 Tamil anthology movie "Ransom 2."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Perfect Pint
Target entity description: Perfect Pint is a short film segment featured within the 2017 Tamil anthology movie "Ransom 2."
  • A. Down at the Corner Beer Joint
    "Down at the Corner Beer Joint" is a song segment or movement that forms part of Willie Nelson’s concept album *Phases and Stages*.
  • B. Drinkin’ Thing
    "Drinkin’ Thing" is a country song best known for its 1974 hit recording by Gary Stewart, exemplifying the honky-tonk style and themes of heartache and alcohol-fueled coping.
  • C. Hoppy Daze
    Hoppy Daze is a classic Warner Bros. Looney Tunes cartoon short featuring the kangaroo character Hippety Hopper in a comedic storyline.
  • D. Un bon bock
    Un bon bock is an early French animated film created by pioneer Émile Reynaud, known for its hand-drawn images projected using his Théâtre Optique system.
  • E. Drink a Beer
    "Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4b903c8190a35f9267cb38e721 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c55fa248190b114a5b63560f87b completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50020d748190be36f3c08df43e40 completed May 9, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff50a349688190ab7a18fa4460d86e completed May 9, 2026, 3:20 p.m.
Created at: April 10, 2026, 4:12 a.m.