Triple
T13454602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hull |
E311196
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Hull |
E171891
|
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 Hull | Statement: [Hull, hasNotableBearer, John Hull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hull Context triple: [Hull, hasNotableBearer, John Hull]
-
A.
John Hull
chosen
John Hull was a prominent 17th-century Boston merchant, silversmith, and colonial official best known for serving as the Massachusetts Bay Colony’s mintmaster.
-
B.
Don Fletcher
Don Fletcher is a writer best known for his work on the song "Dancing Machine."
-
C.
John Hollowood
John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
-
D.
John Talman
John Talman was an English antiquary and art collector of the early 18th century, notable for his pioneering role in the study and preservation of historical artifacts and artworks.
-
E.
Martin Boddey
Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7547b484c8190881e869b3a722e89 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:41 p.m.