Triple
T21638111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Simple Wish |
E534013
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Neil Meron |
—
|
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: Neil Meron | Statement: [A Simple Wish, producer, Neil Meron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Meron Context triple: [A Simple Wish, producer, Neil Meron]
-
A.
Neil Meron
chosen
Neil Meron is an American film and television producer best known for his work on acclaimed musical adaptations and award-winning projects such as "Chicago."
-
B.
Mark Derwin
Mark Derwin is an American actor best known for his television roles in soap operas and family dramas, including a prominent part on *The Secret Life of the American Teenager*.
-
C.
Jonathan Hadary
Jonathan Hadary is an American stage and screen actor known for his work in Broadway productions and various film and television roles.
-
D.
Marc Zamarin
Marc Zamarin is a sports executive best known for serving as the general manager of the Philadelphia Wings professional lacrosse team.
-
E.
Guy Nattiv
Guy Nattiv is an Israeli filmmaker and screenwriter known for his socially conscious dramas, including the Oscar-winning short film "Skin" and its feature-length adaptation.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538eef0481908f5bf0e27f8e054d |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.