Triple
T15368130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirteen |
E367468
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jeff Levy-Hinte |
E458812
|
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: Jeff Levy-Hinte | Statement: [Thirteen, producer, Jeff Levy-Hinte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Levy-Hinte Context triple: [Thirteen, producer, Jeff Levy-Hinte]
-
A.
Jeffrey Levy-Hinte
chosen
Jeffrey Levy-Hinte is an American film producer known for his work on acclaimed independent films such as "The Kids Are All Right" and "Thirteen."
-
B.
Jefery Levy
Jefery Levy is a filmmaker and screenwriter best known for his work on the 1985 horror-comedy film "Ghoulies."
-
C.
Alex Levy
Alex Levy is a prominent fictional television news anchor and co-host at a major morning show, portrayed by Jennifer Aniston in the drama series "The Morning Show."
-
D.
Jared Levine
Jared Levine is a film producer known for his work on the movie "Narc."
-
E.
Jesse M. Feldman
Jesse M. Feldman is a cinematographer known for his work on feature films such as the holiday comedy "The Perfect Holiday."
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b50703881909ca71c985bc1c7b5 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.