Triple

T16873950
Position Surface form Disambiguated ID Type / Status
Subject Tony Rombola E421248 entity
Predicate givenName P17 FINISHED
Object Tony
Tony is a male given name commonly used in English-speaking countries, often as a diminutive of Anthony.
 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 Rombola, givenName, Tony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tony
Context triple: [Tony Rombola, 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 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 Rombola, givenName, Tony]
Generated description
Tony is a male given name commonly used in English-speaking countries, often as a diminutive of Anthony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tony
Target entity description: Tony is a male given name commonly used in English-speaking countries, often as a diminutive of Anthony.
  • 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 a fictional character appearing in the romantic comedy film "Come September."
  • E. 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.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f40410819088db22fa0d1eb808 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b2e67c81908e2313491d16353f completed May 10, 2026, 5:38 p.m.
NEDg Description generation batch_6a00c332051c8190b086a6e29b8d9c61 completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c4371d7481908ee341415606c0a5 completed May 10, 2026, 5:45 p.m.
Created at: April 10, 2026, 5:29 a.m.