Triple

T14153082
Position Surface form Disambiguated ID Type / Status
Subject Tony Bancroft E350735 entity
Predicate givenName P17 FINISHED
Object Tony
Tony is a masculine given name, often a diminutive of Anthony or Antonio, used in many English-speaking and international contexts.
 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 Bancroft, givenName, Tony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tony
Context triple: [Tony Bancroft, givenName, 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 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.
  • C. Tony
    Tony is a fictional character from the British television drama series "Time of Your Life."
  • 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 Bancroft, givenName, Tony]
Generated description
Tony is a masculine given name, often a diminutive of Anthony or Antonio, used in many English-speaking and international contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tony
Target entity description: Tony is a masculine given name, often a diminutive of Anthony or Antonio, used in many English-speaking and international contexts.
  • 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 the central romantic lead in the musical "The Most Happy Fella," an aging Italian-American vintner whose love story drives the plot.
  • D. Tony
    Tony is the central male protagonist in the play and film "They Knew What They Wanted," an aging Italian-American winegrower whose impulsive mail-order marriage drives the story’s romantic and dramatic conflicts.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6133754881908e1e97db71772deb completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ea34408190830263d7f5a88ce9 completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd067e73708190adcb4e1c2fbf210d completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd0c5161dc8190a923c5b00dc5b53a completed May 7, 2026, 10:04 p.m.
Created at: April 10, 2026, 12:57 a.m.