Triple
T17977983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Schumer |
E449523
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Chuck Schumer |
—
|
NE NERFINISHED |
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: Chuck Schumer | Statement: [Amy Schumer, relative, Chuck Schumer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuck Schumer Context triple: [Amy Schumer, relative, Chuck Schumer]
-
A.
Charles Schumer
chosen
Charles Schumer is a longtime Democratic U.S. senator from New York who serves as Senate Majority Leader and is known for his influential role in national legislative politics.
-
B.
Chris Cuomo
Chris Cuomo is an American television journalist and former CNN anchor known for hosting the prime-time news program "Cuomo Prime Time."
-
C.
Tom Reed
Tom Reed was an American screenwriter active during Hollywood's classic era, known for his work on numerous studio films.
-
D.
Sean Moynihan
Sean Moynihan is a screenwriter best known for his work on the romantic comedy film "Shallow Hal."
-
E.
Theodore Gillibrand
Theodore Gillibrand is the younger son of U.S. Senator Kirsten Gillibrand and her husband Jonathan Gillibrand.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b200e9108190bcdde5ba7938ba94 |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.