Triple

T16501102
Position Surface form Disambiguated ID Type / Status
Subject Tony Snow E400800 entity
Predicate nickname P55 FINISHED
Object Tony
Tony is the commonly used short form of the name Anthony, often used as a given name or nickname for men in English-speaking countries.
 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 Snow, nickname, Tony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tony
Context triple: [Tony Snow, nickname, Tony]
  • A. Tony
    Tony is a fictional character from the animated series "Wild Target," known for his adventurous role within the show's ensemble cast.
  • B. 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.
  • C. Tony
    Tony is a fictional character appearing in the Marx Brothers comedy film "A Day at the Races."
  • D. Tony
    Tony is a kind-hearted Chicago police officer who briefly dates Fiona Gallagher in the U.S. version of the TV series "Shameless."
  • E. Tony
    Tony is a fictional character appearing in the romantic comedy film "Come September."
  • 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 Snow, nickname, Tony]
Generated description
Tony is the commonly used short form of the name Anthony, often used as a given name or nickname for men in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tony
Target entity description: Tony is the commonly used short form of the name Anthony, often used as a given name or nickname for men in English-speaking countries.
  • A. Tony chosen
    Tony is a common masculine given name, often used as a diminutive of Anthony or Antonio.
  • B. Tony
    Tony is the NATO reporting name for the Japanese World War II Kawasaki Ki-61 fighter aircraft.
  • C. Tony
    Tony is a fictional character from the British television drama series "Time of Your Life."
  • D. Tony
    Tony is the central romantic lead in the musical "The Most Happy Fella," an aging Italian-American vintner whose love story drives the plot.
  • E. Tony
    Tony is a fictional character appearing in the romantic comedy film "Come September."
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e4ddc88819081fedb726add3e96 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582e6e288190825af8758097e325 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059cb0e8c81908745e5f5a1c64117 completed May 10, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_6a005ab310f481909193c5c5fe322d2a completed May 10, 2026, 10:15 a.m.
Created at: April 10, 2026, 5:14 a.m.