Triple
T16441263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Silver |
E399307
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Darren Star |
E142020
|
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: Darren Star | Statement: [David Silver, creator, Darren Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darren Star Context triple: [David Silver, creator, Darren Star]
-
A.
Darren Star
chosen
Darren Star is an American television writer and producer best known for creating hit series such as "Sex and the City," "Beverly Hills, 90210," and "Melrose Place."
-
B.
Maureen Johnson
Maureen Johnson is a flamboyant, performance-artist character in the musical "Rent," known for her dramatic personality and complex romantic relationships.
-
C.
Cornelia Cole
Cornelia Cole was an American social leader and political hostess, best known as the wife of U.S. Vice President Charles W. Fairbanks.
-
D.
Ash Brannon
Ash Brannon is an American animator, director, and writer best known for his work at Pixar and on acclaimed animated films such as Toy Story 2 and Surf's Up.
-
E.
Annie Wersching
Annie Wersching was an American actress best known for her roles in television series such as "24," "Bosch," and "Star Trek: Picard."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba7fb0c8190a6a872705cd38987 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005815efc48190868305f428cb9085 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.