Triple
T3042203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowen |
E83155
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Bowen(e) |
E83155
|
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: Bowen(e) | Statement: [Bowen, hasVariant, Bowen(e)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bowen(e) Context triple: [Bowen, hasVariant, Bowen(e)]
-
A.
Bowen
chosen
Bowen is a surname of English and Welsh origin borne by various notable individuals across fields such as science, politics, and the arts.
-
B.
Bow
Bow is a district in East London, England, known for its historic industrial heritage and proximity to the River Lea and the Queen Elizabeth Olympic Park.
-
C.
Barlow
Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
-
D.
Bou
Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
-
E.
Bonnell
Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5d2a308190b4ce20efcae9b761 |
completed | March 8, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ded01a1481908be7d44c2bf4e638 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3:01 p.m.