Triple
T19351486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Brackish Okun |
E484029
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Dean Devlin |
—
|
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: Dean Devlin | Statement: [Dr. Brackish Okun, createdBy, Dean Devlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Devlin Context triple: [Dr. Brackish Okun, createdBy, Dean Devlin]
-
A.
Dean Devlin
chosen
Dean Devlin is an American film and television producer, writer, and director best known for his work on science fiction and action projects such as "Independence Day," "Stargate," and various genre TV series.
-
B.
Richard Creedon
Richard Creedon was a screenwriter best known for his work on Disney’s landmark animated feature film "Snow White and the Seven Dwarfs."
-
C.
Jeffrey Bell
Jeffrey Bell is an American television writer and producer known for his work on genre series such as Angel, Alias, and Marvel's Agents of S.H.I.E.L.D.
-
D.
Brian Shanley
Brian Shanley is a cinematographer best known for his work on the 2009 film adaptation of "The Velveteen Rabbit."
-
E.
Steven DeRose
Steven DeRose is a computer scientist and linguist known for his influential work in digital text encoding and markup languages, particularly in the development and standardization of XML-related technologies.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61904a878819084d58ed3b7d8a978 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.