Triple
T11015476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Jones Bellamy |
E260353
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bellamy |
E257517
|
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: Bellamy | Statement: [Walter Jones Bellamy, familyName, Bellamy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellamy Context triple: [Walter Jones Bellamy, familyName, Bellamy]
-
A.
Bellamy
Bellamy is a small rural community located within the township of Edwardsburgh/Cardinal in eastern Ontario, Canada.
-
B.
Bellamy
chosen
Bellamy is a surname of English and French origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
C.
Bellamy
Bellamy is an unincorporated community located in the state of Missouri in the United States.
-
D.
Bellamy Blake
Bellamy Blake is a central protagonist in the post-apocalyptic television series "The 100," known for his evolution from a rebellious leader to a morally complex and protective figure.
-
E.
Myles
Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a558a08190bdb5779faa9adf05 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374d371ec8190aba9e77346c6e876 |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.