Triple
T10494368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie |
E247496
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ari Handel |
E146335
|
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: Ari Handel | Statement: [Jackie, producer, Ari Handel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ari Handel Context triple: [Jackie, producer, Ari Handel]
-
A.
Ari Handel
chosen
Ari Handel is an American neuroscientist-turned-screenwriter and producer best known for his frequent collaborations with filmmaker Darren Aronofsky on films such as "Noah" and "The Fountain."
-
B.
Rusty Schwimmer
Rusty Schwimmer is an American character actress known for her work in film and television, often portraying strong, memorable supporting roles.
-
C.
Jordana Arkin
Jordana Arkin is a television writer and producer best known for co-developing and writing for the animated series "Star vs. the Forces of Evil."
-
D.
Andrew Dorff
Andrew Dorff was an American country music songwriter known for penning hits for artists such as Blake Shelton, Kenny Chesney, and Rascal Flatts.
-
E.
Ari Katcher
Ari Katcher is a television writer and producer best known for his work on the acclaimed comedy-drama series "Ramy."
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcaeb6088190829b6c26eb1de7d5 |
completed | April 10, 2026, 11:19 a.m. |
Created at: April 6, 2026, 12:24 p.m.