Triple
T7621356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nichols |
E172500
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Nicholes |
E172500
|
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: Nicholes | Statement: [Nichols, hasVariant, Nicholes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholes Context triple: [Nichols, hasVariant, Nicholes]
-
A.
Nichols
chosen
Nichols is a common English surname borne by numerous notable individuals across politics, arts, sports, and academia.
-
B.
Nicol
Nicol is a Scottish surname most notably associated with former professional footballer and manager Steve Nicol.
-
C.
Neile
Neile is a small river in Lower Saxony, Germany, that serves as a tributary of the Innerste.
-
D.
Nicole
Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
-
E.
Nicole
Nicole is a sharp-tongued, down-to-earth maid in Molière’s comedy "Le Bourgeois gentilhomme," often serving as a voice of reason and satire against her master’s pretensions.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa62870c8190b17f44eb7a3ff2ad |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8709b93c881909dd4c8a7669279db |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:56 p.m.