Triple
T8876752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Bowen Campbell |
E211304
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Bowen |
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 | Statement: [William Bowen Campbell, middleName, Bowen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bowen Context triple: [William Bowen Campbell, middleName, Bowen]
-
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.
Bowen
Bowen is a coastal town in Queensland, Australia, known for its beaches, tropical climate, and position near the Whitsunday Islands.
-
C.
Banwen
Banwen is a small village in South Wales, known historically for its coal mining heritage and location near the upper Dulais Valley.
-
D.
Blackwood
Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
-
E.
Blackwood
Blackwood is an unincorporated community and census-designated place in Camden County, New Jersey, known as a residential suburb within the Philadelphia metropolitan area.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61472cc081909e51b4a35a20ef43 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfaba6f2f481909a30f71e96bc9079 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:52 p.m.