Triple
T9255399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Power (academic) |
E222427
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Power |
E222427
|
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: Michael Power | Statement: [Michael Power (academic), name, Michael Power]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Power Context triple: [Michael Power (academic), name, Michael Power]
-
A.
Michael Power
chosen
Michael Power is a personal name shared by several notable individuals across fields such as politics, sports, and academia.
-
B.
Brian Power
Brian Power is a personal name shared by multiple individuals, including professionals in fields such as sports, music, and public service.
-
C.
Michael Powers
Michael Powers is a personal name shared by multiple individuals across various professions, including law, academia, and the arts.
-
D.
Richard Power
Richard Power is a personal name shared by several notable individuals across fields such as politics, sports, and the arts.
-
E.
Keith Power
Keith Power is a Canadian composer best known for scoring television series and films, including the reboot of "Hawaii Five-0."
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b3c314819096632b8263288aae |
completed | April 1, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f38567048190b1fccbab145285c9 |
completed | April 4, 2026, 11:18 a.m. |
Created at: March 30, 2026, 7:31 p.m.