Triple
T19796396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Young in Heart |
E475552
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Tom Reed |
—
|
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: Tom Reed | Statement: [The Young in Heart, screenwriter, Tom Reed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Reed Context triple: [The Young in Heart, screenwriter, Tom Reed]
-
A.
Tom Reed
chosen
Tom Reed was an American screenwriter active during Hollywood's classic era, known for his work on numerous studio films.
-
B.
Tom Malinowski
Tom Malinowski is an American diplomat and Democratic politician who served in the U.S. House of Representatives representing a New Jersey district in the late 2010s and early 2020s.
-
C.
Theodore Gillibrand
Theodore Gillibrand is the younger son of U.S. Senator Kirsten Gillibrand and her husband Jonathan Gillibrand.
-
D.
Sean Moynihan
Sean Moynihan is a screenwriter best known for his work on the romantic comedy film "Shallow Hal."
-
E.
Chris Cuomo
Chris Cuomo is an American television journalist and former CNN anchor known for hosting the prime-time news program "Cuomo Prime Time."
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c723548190ac9bfaecaf8afb13 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.