Triple

T3296743
Position Surface form Disambiguated ID Type / Status
Subject Matilda Cuomo E69233 entity
Predicate spouse P13 FINISHED
Object Mario Cuomo E68720 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: Mario Cuomo | Statement: [Matilda Cuomo, spouse, Mario Cuomo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Cuomo
Context triple: [Matilda Cuomo, spouse, Mario Cuomo]
  • A. Mario Cuomo chosen
    Mario Cuomo was a prominent American Democratic politician who served three terms as governor of New York and became known for his eloquent speeches and progressive views.
  • B. George Pataki
    George Pataki is an American Republican politician who served three terms as governor of New York from 1995 to 2006.
  • C. Andrew Cuomo
    Andrew Cuomo is an American politician and member of the Democratic Party who served as the 56th governor of New York from 2011 to 2021.
  • D. David Paterson
    David Paterson is an American politician who served as the 55th governor of New York and was the state's first Black and first legally blind governor.
  • E. Rudy Giuliani
    Rudy Giuliani is an American lawyer and politician best known for serving as Mayor of New York City, particularly during and after the September 11, 2001 attacks.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb078f3dc8190afb624f62894e48f completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38badfa648190a1391627a5c6a478 completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:10 p.m.