Triple

T2747247
Position Surface form Disambiguated ID Type / Status
Subject Ray Romano E60897 entity
Predicate hasChild P369 FINISHED
Object Matthew Romano
Matthew Romano is one of the sons of American comedian and actor Ray Romano, known for occasionally appearing with his father in public and media contexts.
 E325461 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: Matthew Romano | Statement: [Ray Romano, hasChild, Matthew Romano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthew Romano
Context triple: [Ray Romano, hasChild, Matthew Romano]
  • A. Gregory Romano
    Gregory Romano is one of the sons of American comedian and actor Ray Romano.
  • B. Andrew DeLuca
    Andrew DeLuca is a fictional surgical resident and later attending surgeon on the television series Grey’s Anatomy, known for his complex personal struggles and romantic relationships with key characters.
  • C. Matthew Mottola
    Matthew Mottola is the son of music executive Tommy Mottola.
  • D. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • E. Marc Trasolini
    Marc Trasolini is a Canadian professional basketball player and standout former forward for Santa Clara University who went on to play internationally, particularly in Japan’s B.League.
  • 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: Matthew Romano
Triple: [Ray Romano, hasChild, Matthew Romano]
Generated description
Matthew Romano is one of the sons of American comedian and actor Ray Romano, known for occasionally appearing with his father in public and media contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthew Romano
Target entity description: Matthew Romano is one of the sons of American comedian and actor Ray Romano, known for occasionally appearing with his father in public and media contexts.
  • A. Gregory Romano
    Gregory Romano is one of the sons of American comedian and actor Ray Romano.
  • B. Andrew DeLuca
    Andrew DeLuca is a fictional surgical resident and later attending surgeon on the television series Grey’s Anatomy, known for his complex personal struggles and romantic relationships with key characters.
  • C. Matthew Mottola
    Matthew Mottola is the son of music executive Tommy Mottola.
  • D. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • E. Marc Trasolini
    Marc Trasolini is a Canadian professional basketball player and standout former forward for Santa Clara University who went on to play internationally, particularly in Japan’s B.League.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1f852ebbc8190885b819a79719c6d completed March 11, 2026, 11:18 p.m.
NEDg Description generation batch_69b1fc5de17881908a512cd34ffa046f completed March 11, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69b1fcbf176c8190a061cc437db9690a completed March 11, 2026, 11:37 p.m.
Created at: March 6, 2026, 9:56 p.m.