Triple
T4612867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonesmen |
E100799
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | John Kerry |
E45113
|
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: John Kerry | Statement: [Bonesmen, hasNotableMember, John Kerry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Kerry Context triple: [Bonesmen, hasNotableMember, John Kerry]
-
A.
John Kerry
chosen
John Kerry is an American politician and diplomat, former U.S. senator from Massachusetts, 2004 Democratic presidential nominee, former Secretary of State, and a leading figure in U.S. foreign policy and climate diplomacy.
-
B.
Albert Kerry
Albert Kerry was a local Seattle businessman and civic leader after whom the scenic Kerry Park viewpoint on Queen Anne Hill is named.
-
C.
Kerry
Kerry is a county in the southwest of Ireland known for its rugged coastline, mountains, and popular tourist destinations like Killarney and the Ring of Kerry.
-
D.
Kerry
Kerry is a given name used for people of any gender in English-speaking countries.
-
E.
Ted Kennedy
Ted Kennedy was a Canadian Hall of Fame ice hockey centre best known as a longtime star and captain of the Toronto Maple Leafs in the NHL.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59c11f5481909f61e23503711cf5 |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be035629248190a8723b5f1f9e57bc |
completed | March 21, 2026, 2:32 a.m. |
Created at: March 20, 2026, 1:12 p.m.