Triple

T12756659
Position Surface form Disambiguated ID Type / Status
Subject Melinda Dillon E304877 entity
Predicate spouse P13 FINISHED
Object Richard Libertini E316700 NE FINISHED

How this triple was built (2 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: Richard Libertini | Statement: [Melinda Dillon, spouse, Richard Libertini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Libertini
Context triple: [Melinda Dillon, spouse, Richard Libertini]
  • A. Richard Libertini chosen
    Richard Libertini was an American character actor known for his eccentric, comedic roles in film and television during the 1970s and 1980s.
  • B. John Riggi
    John Riggi is an American television writer, producer, and director known for his work on acclaimed series such as 30 Rock and The Comeback.
  • C. Anthony Marinelli
    Anthony Marinelli is an American composer and musician best known for his film scores and extensive work in Hollywood soundtracks.
  • D. Arthur Gallucci
    Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
  • E. Fred Tatasciore
    Fred Tatasciore is an American voice actor known for his deep, powerful vocal performances in numerous animated series, films, and video games, often portraying larger-than-life or monstrous characters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8b57b88190b29b8fdca415c81c completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f08fac8190b8c480619696bcd1 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:27 p.m.