Triple
T16272018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Carter |
E395022
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nickolas |
E945608
|
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: Nickolas | Statement: [Nick Carter, givenName, Nickolas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nickolas Context triple: [Nick Carter, givenName, Nickolas]
-
A.
Nikolas
chosen
Nikolas is a given name, commonly used in various cultures, that derives from the Greek name Nikolaos.
-
B.
Nicholas Gage
Nicholas Gage is a Greek-American author and former investigative journalist best known for his memoir "Eleni," which recounts his mother's execution during the Greek Civil War.
-
C.
Nicholas Reed
Nicholas Reed is a film producer best known for his work on the Academy Award–winning documentary short "The Lady in Number 6: Music Saved My Life."
-
D.
Nicholas Dodd
Nicholas Dodd is a British orchestrator and conductor best known for his work on major film scores, particularly in collaboration with prominent composers on blockbuster soundtracks.
-
E.
Nicholas Van Orton
Nicholas Van Orton is a wealthy, emotionally detached investment banker whose life unravels after he becomes entangled in a mysterious and elaborate psychological "game" in the film *The Game*.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460a4f7c8190a614c11f7eaa0a7a |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017bf09888190b3d90db3517a2f1e |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.