Triple
T10457382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnolia |
E246581
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Daniel Lupi |
E420717
|
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: Daniel Lupi | Statement: [Magnolia, producer, Daniel Lupi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Lupi Context triple: [Magnolia, producer, Daniel Lupi]
-
A.
Daniel Lupi
chosen
Daniel Lupi is an American film producer known for his frequent collaborations with director Paul Thomas Anderson on critically acclaimed films.
-
B.
Daniel Mongiardo
Daniel Mongiardo is an American physician and Democratic politician from Kentucky who served as the state's lieutenant governor.
-
C.
Daniel Nigro
Daniel Nigro is an American songwriter and producer known for his work with prominent pop and indie artists, including co-writing and producing hits for Olivia Rodrigo.
-
D.
Nicholas D'Alesandro
Nicholas D'Alesandro is a member of the prominent D'Alesandro political family from Baltimore, known primarily as a son of longtime Baltimore mayor Thomas D'Alesandro Jr.
-
E.
Nicholas D'Agosto
Nicholas D'Agosto is an American actor known for his roles in television series such as "Masters of Sex" and "Heroes," as well as films like "Final Destination 5."
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe4a56e08190ab56d762d6a91b01 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fbf3a308190af6b605ce781396a |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:18 p.m.