Triple
T6333172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic in the Moonlight |
E142428
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Stephen Tenenbaum |
E312158
|
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: Stephen Tenenbaum | Statement: [Magic in the Moonlight, producer, Stephen Tenenbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Tenenbaum Context triple: [Magic in the Moonlight, producer, Stephen Tenenbaum]
-
A.
Stephen Tenenbaum
chosen
Stephen Tenenbaum is a film producer best known for his frequent collaborations with director Woody Allen on numerous critically acclaimed movies.
-
B.
Jeremy Shamos
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
-
C.
David Weinberg
David Weinberg is a name shared by multiple notable individuals, including professionals in fields such as science, academia, and the arts.
-
D.
Daniel Bobker
Daniel Bobker is a film producer known for his work on genre and fantasy projects, including the movie "The Brothers Grimm."
-
E.
David Lanzenberg
David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d412bc88190aa8ee0a40ec8bc30 |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:30 p.m.