Triple
T9196411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Power |
E220723
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Steven Power |
E220723
|
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: Steven Power | Statement: [Stephen Power, hasSpellingVariant, Steven Power]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Power Context triple: [Stephen Power, hasSpellingVariant, Steven Power]
-
A.
Stephen Power
chosen
Stephen Power is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
B.
Mark Power
Mark Power is a British documentary and fine-art photographer known for his large-format projects exploring social landscapes and the changing urban environment.
-
C.
Richard Power
Richard Power is a personal name shared by several notable individuals across fields such as politics, sports, and the arts.
-
D.
Keith Powers
Keith Powers is an American actor known for his roles in films and television series such as "The Tomorrow War," "Straight Outta Compton," and "The New Edition Story."
-
E.
Timothy Power
Timothy Power is a name shared by several notable individuals, including academics and professionals in fields such as political science and classical studies.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87d6460819097234b5dd3f749b4 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c3b1af48190bb03af15232c510d |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:25 p.m.