Triple
T12009110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Silverstein |
E285859
|
entity |
| Predicate | created |
P538
|
FINISHED |
| Object | "Nikita" |
E498068
|
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: "Nikita" | Statement: [Craig Silverstein, created, "Nikita"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Nikita" Context triple: [Craig Silverstein, created, "Nikita"]
-
A.
Nikita
chosen
Nikita is an American action-thriller television series centered on a rogue assassin seeking to dismantle the secret government organization that trained her.
-
B.
Nikita
Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
-
C.
La Femme Nikita
La Femme Nikita is a Canadian television drama series about a convicted criminal forced to work as an assassin for a secret government organization.
-
D.
Little Nikita
Little Nikita is a 1988 American thriller film starring River Phoenix and Sidney Poitier that blends coming-of-age drama with Cold War espionage.
-
E.
Yuriatin
Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d61a4c81909e6cb6500b61df94 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d32b0608190b261567fbd4f415e |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.