Triple
T10209664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terra Nova |
E242294
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Craig Silverstein |
E285859
|
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: Craig Silverstein | Statement: [Terra Nova, creator, Craig Silverstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Silverstein Context triple: [Terra Nova, creator, Craig Silverstein]
-
A.
Craig Silverstein
chosen
Craig Silverstein is an American television writer and producer best known for creating and showrunning series such as the Revolutionary War drama "Turn: Washington's Spies" and the action thriller "Nikita."
-
B.
Michael Silvers
Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
-
C.
Craig Greenberg
Craig Greenberg is an American businessman, attorney, and Democratic politician serving as the mayor of Louisville, Kentucky.
-
D.
Marc Silverstein
Marc Silverstein is an American screenwriter and filmmaker known for co-writing popular romantic comedies such as "He's Just Not That Into You," "Never Been Kissed," and "How to Be Single."
-
E.
Philip Dorn
Philip Dorn was a Dutch-born actor known for his roles in Hollywood films of the 1940s, often portraying dignified European characters.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395fbed008190b66996f5bb397853 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652cca9c081909f705365c70db009 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11 a.m.