Triple
T20390443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikita |
E498068
|
entity |
| Predicate | mainProtagonist |
P9202
|
FINISHED |
| Object | Nikita Mears |
—
|
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: Nikita Mears | Statement: [Nikita, mainProtagonist, Nikita Mears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikita Mears Context triple: [Nikita, mainProtagonist, Nikita Mears]
-
A.
Nikita Mears
chosen
Nikita Mears is the highly skilled rogue assassin and central protagonist of the action-thriller TV series "Nikita."
-
B.
Nikki Alexander
Nikki Alexander is a central forensic pathologist character in the British crime drama television series "Silent Witness."
-
C.
Makenzy Doniak
Makenzy Doniak is an American professional soccer forward known for her standout collegiate career at the University of Virginia and subsequent play in the National Women's Soccer League.
-
D.
Kayla Fenech
Kayla Fenech is the daughter of Australian former world champion boxer Jeff Fenech.
-
E.
Mikaela Banes
Mikaela Banes is a skilled, street-smart mechanic and the primary human female protagonist in the early live-action Transformers films, portrayed by Megan Fox.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.