Triple

T4450354
Position Surface form Disambiguated ID Type / Status
Subject Alyssa Milano E97591 entity
Predicate parent P120 FINISHED
Object Thomas M. Milano
Thomas M. Milano is the father of American actress and activist Alyssa Milano.
E485228 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: Thomas M. Milano | Statement: [Alyssa Milano, parent, Thomas M. Milano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas M. Milano
Context triple: [Alyssa Milano, parent, Thomas M. Milano]
  • A. John J. Tominac
    John J. Tominac was a United States Army soldier and Medal of Honor recipient recognized for extraordinary heroism during World War II.
  • B. John R. Leonetti
    John R. Leonetti is an American cinematographer and film director best known for his work on major horror films, including serving as director of photography on "The Conjuring."
  • C. Frank V. Brocato
    Frank V. Brocato is an American municipal leader who serves as the mayor of Hoover, Alabama.
  • D. Thomas J. Shahan
    Thomas J. Shahan was an American Roman Catholic priest, church historian, and educator who served as a prominent editor and scholar in early 20th-century Catholic intellectual life.
  • E. Patrick E. Haggerty
    Patrick E. Haggerty was an American engineer and business executive who played a pivotal role in the early semiconductor industry and the growth of Texas Instruments into a major technology company.
  • 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: Thomas M. Milano
Triple: [Alyssa Milano, parent, Thomas M. Milano]
Generated description
Thomas M. Milano is the father of American actress and activist Alyssa Milano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas M. Milano
Target entity description: Thomas M. Milano is the father of American actress and activist Alyssa Milano.
  • A. John J. Tominac
    John J. Tominac was a United States Army soldier and Medal of Honor recipient recognized for extraordinary heroism during World War II.
  • B. John R. Leonetti
    John R. Leonetti is an American cinematographer and film director best known for his work on major horror films, including serving as director of photography on "The Conjuring."
  • C. Frank V. Brocato
    Frank V. Brocato is an American municipal leader who serves as the mayor of Hoover, Alabama.
  • D. Thomas J. Shahan
    Thomas J. Shahan was an American Roman Catholic priest, church historian, and educator who served as a prominent editor and scholar in early 20th-century Catholic intellectual life.
  • E. Patrick E. Haggerty
    Patrick E. Haggerty was an American engineer and business executive who played a pivotal role in the early semiconductor industry and the growth of Texas Instruments into a major technology company.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f2377c8190b0176b4c6776815e completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69be89b9fcbc8190868b8d0584e94118 completed March 21, 2026, 12:06 p.m.
NEDg Description generation batch_69be8b54b7648190a32236301384a54f completed March 21, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_69be8ba6dc4c81909a64f409bd18aa63 completed March 21, 2026, 12:14 p.m.
Created at: March 12, 2026, 11:32 p.m.