Triple

T11991595
Position Surface form Disambiguated ID Type / Status
Subject Tony Oursler E285418 entity
Predicate givenName P17 FINISHED
Object Tony
Tony is the given name of Tony Oursler, an American multimedia and installation artist known for his innovative video projections and sculptural works.
E265285 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: Tony | Statement: [Tony Oursler, givenName, Tony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony
Context triple: [Tony Oursler, givenName, Tony]
  • A. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • B. Tony
    Tony is a fictional character from the animated series "Wild Target," known for his adventurous role within the show's ensemble cast.
  • C. Tony
    Tony is the idealistic young protagonist of the musical *West Side Story*, whose forbidden love for Maria drives the story’s modern retelling of *Romeo and Juliet* in 1950s New York.
  • D. Tony
    Tony is a fictional character from the British television drama series "Time of Your Life."
  • E. Tony
    Tony is a character from the British stage play and film "Abigail's Party," known as the quiet, awkward husband of Angela whose subdued demeanor contrasts with the play’s more overbearing personalities.
  • 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: Tony
Triple: [Tony Oursler, givenName, Tony]
Generated description
Tony is the given name of Tony Oursler, an American multimedia and installation artist known for his innovative video projections and sculptural works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tony
Target entity description: Tony is the given name of Tony Oursler, an American multimedia and installation artist known for his innovative video projections and sculptural works.
  • A. Tony chosen
    Tony is a common masculine given name, often used as a diminutive of Anthony or Antonio.
  • B. Tony
    Tony is a central, shape-shifting conman character in the fantasy film "The Imaginarium of Doctor Parnassus," notably portrayed by multiple actors including Heath Ledger, Johnny Depp, Jude Law, and Colin Farrell.
  • C. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • D. Tony
    Tony is the humanoid robot protagonist of Isaac Asimov’s science fiction short story “Satisfaction Guaranteed,” designed to interact closely with humans and explore the emotional and ethical implications of human–robot relationships.
  • E. Tony
    Tony is a fictional character from the play "Master Class," which dramatizes a teaching session led by opera legend Maria Callas.
  • F. None of above.

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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47257911481909d6bd72535eefdbd completed May 1, 2026, 9:28 a.m.
NEDg Description generation batch_69f47cb7f9b4819091e6df4b894359bb completed May 1, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69f47e6b8234819087fa1c53406b5f62 completed May 1, 2026, 10:20 a.m.
Created at: April 8, 2026, 9:46 p.m.