Triple

T8061365
Position Surface form Disambiguated ID Type / Status
Subject Dan Dailey E188127 entity
Predicate notableWork P4 FINISHED
Object Call Me Mister
Call Me Mister is a 1951 musical film featuring Dan Dailey as a performer entertaining U.S. troops in post-World War II Japan.
 E709349 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: Call Me Mister | Statement: [Dan Dailey, notableWork, Call Me Mister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Call Me Mister
Context triple: [Dan Dailey, notableWork, Call Me Mister]
  • A. Call Me
    "Call Me" is a 1973 soul album by Al Green, widely regarded as one of his finest works and a classic of the genre.
  • B. Call Me
    "Call Me" is a 1980 new wave and rock song by Blondie that became one of the band’s biggest hits and a defining track of the era.
  • C. Call the Man
    "Call the Man" is a power ballad by Celine Dion, featured on her 1996 album *Falling into You*.
  • D. Tell No One
    Tell No One is a 2006 French thriller film, based on Harlan Coben’s novel, about a doctor who becomes entangled in a web of mystery and danger after receiving messages suggesting his murdered wife may still be alive.
  • E. Call Me Anything
    "Call Me Anything" is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
  • 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: Call Me Mister
Triple: [Dan Dailey, notableWork, Call Me Mister]
Generated description
Call Me Mister is a 1951 musical film featuring Dan Dailey as a performer entertaining U.S. troops in post-World War II Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Call Me Mister
Target entity description: Call Me Mister is a 1951 musical film featuring Dan Dailey as a performer entertaining U.S. troops in post-World War II Japan.
  • A. Call Me
    "Call Me" is a 1980 new wave and rock song by Blondie that became one of the band’s biggest hits and a defining track of the era.
  • B. Call Me
    "Call Me" is a 1973 soul album by Al Green, widely regarded as one of his finest works and a classic of the genre.
  • C. Call the Man
    "Call the Man" is a power ballad by Celine Dion, featured on her 1996 album *Falling into You*.
  • D. Tell No One
    Tell No One is a 2006 French thriller film, based on Harlan Coben’s novel, about a doctor who becomes entangled in a web of mystery and danger after receiving messages suggesting his murdered wife may still be alive.
  • E. Call Me Anything
    "Call Me Anything" is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fcc61c0819085edc26e75c5f6d5 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63d6484c8190b2fd2c2bef179fc4 completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651b4be08190ad76c70b1d617c1a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc6649d2348190996802140b455348 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:26 p.m.