Triple
T4173334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Cuomo |
E86414
|
entity |
| Predicate | childOf |
P120
|
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: [Margaret Cuomo, childOf, Mario Cuomo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Cuomo Context triple: [Margaret Cuomo, childOf, 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02e65b548190be095df62091b960 |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589f001e48190a4c5aab6cfd29ffb |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:45 p.m.