Triple
T21966431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Murphy |
E542470
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Doug Ellin |
—
|
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: Doug Ellin | Statement: [Eric Murphy, creator, Doug Ellin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Ellin Context triple: [Eric Murphy, creator, Doug Ellin]
-
A.
Doug Ellin
chosen
Doug Ellin is an American screenwriter, director, and producer best known for creating the HBO comedy-drama series "Entourage."
-
B.
Stephen Deutsch
Stephen Deutsch is a film producer best known for his work on the 1983 sports drama "All the Right Moves" starring Tom Cruise.
-
C.
Stephen Deutsch
Stephen Deutsch is a film producer best known for his work on the romantic time-travel drama "Somewhere in Time."
-
D.
Dan Wells
Dan Wells is an American horror and science fiction author best known for his "John Cleaver" series and as a longtime co-host of the writing advice podcast "Writing Excuses."
-
E.
Dan Goodman
Dan Goodman is a central character in the rock musical "Next to Normal," portrayed as a devoted husband and father struggling to hold his family together amid his wife's severe mental illness.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245b821c8190816058c2a07707a3 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.