Triple

T16097942
Position Surface form Disambiguated ID Type / Status
Subject Hot Bench E390533 entity
Predicate judge P3169 FINISHED
Object Patricia DiMango E1196270 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: Patricia DiMango | Statement: [Hot Bench, judge, Patricia DiMango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia DiMango
Context triple: [Hot Bench, judge, Patricia DiMango]
  • A. Patricia DiMango chosen
    Patricia DiMango is a retired New York City Supreme Court justice and television personality best known as one of the original judges on the courtroom show "Hot Bench."
  • B. Patricia Danova
    Patricia Danova is known as the spouse of Italian-American actor Cesare Danova.
  • C. Patricia Roccuzzo
    Patricia Roccuzzo is the maternal grandmother of Thiago Messi, the eldest son of footballer Lionel Messi and Antonela Roccuzzo.
  • D. Patty Dann
    Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
  • E. Donna Belle Mullenger
    Donna Belle Mullenger is the birth name of American actress Donna Reed, best known for her role in the classic film "It's a Wonderful Life."
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79a96d08190af69cbb18037f66e completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:59 a.m.