Triple
T1787555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elton John |
E39424
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nikita |
E83420
|
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: [Elton John, notableWork, Nikita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikita Context triple: [Elton John, notableWork, Nikita]
-
A.
Nikita
chosen
Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
-
B.
Nikkiya
Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
-
C.
Anastasia
Anastasia is a 1956 historical drama film starring Ingrid Bergman as an amnesiac woman who may be the surviving daughter of Russia’s last tsar.
-
D.
Daughter of the Kremlin
Daughter of the Kremlin is a memoir by Svetlana Alliluyeva, Joseph Stalin’s daughter, recounting her life inside the Soviet leadership’s inner circle and her eventual break with the regime.
-
E.
Nina
Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650fd3448190a6a2c979db982cae |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9a66da8819085867355c174adce |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:32 p.m.