Triple
T10188959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Can Count on Me |
E237982
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John Hart |
E76182
|
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: John Hart | Statement: [You Can Count on Me, producer, John Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hart Context triple: [You Can Count on Me, producer, John Hart]
-
A.
John Hart
chosen
John Hart is a film producer best known for his work on literary adaptations and independent movies, including the 2002 adaptation of "Nicholas Nickleby."
-
B.
John Hart
John Hart is the son of former U.S. Senator and 1980s Democratic presidential contender Gary Hart.
-
C.
Jeffrey Konvitz
Jeffrey Konvitz is an American author and film producer best known for his 1974 horror novel "The Sentinel," which was adapted into a feature film.
-
D.
John A. Griswold
John A. Griswold was a 19th-century American industrialist, U.S. Congressman from New York, and prominent figure in Troy’s iron and steel industry.
-
E.
James V. Hart
James V. Hart is an American screenwriter and producer best known for adapting classic literary and fantasy works for film, including projects like "Bram Stoker's Dracula" and "Hook."
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7c3278819093312665b54d888c |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317b734a4819085645caea8ba0481 |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:12 p.m.