Triple
T16009076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doric |
E388292
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Jonathan Goldstein |
—
|
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: Jonathan Goldstein | Statement: [Doric, createdBy, Jonathan Goldstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Goldstein Context triple: [Doric, createdBy, Jonathan Goldstein]
-
A.
Jonathan Goldstein
chosen
Jonathan Goldstein is an American screenwriter and filmmaker best known for co-writing hit studio comedies such as Horrible Bosses and Spider-Man: Homecoming.
-
B.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
-
C.
Len Goldstein
Len Goldstein is a television producer known for his executive production work on series such as "The Astronaut Wives Club."
-
D.
Steve Goldstein
Steve Goldstein is a music producer known for his work on the album "Romance Dance."
-
E.
Eric L. Gold
Eric L. Gold is a film and television producer best known for his work on the horror-comedy franchise "Scary Movie."
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1828e9e708190aec0078913bf098a |
completed | April 17, 2026, 12:45 a.m. |
Created at: April 10, 2026, 4:55 a.m.