Triple
T1479483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Briton Hadden |
E30918
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Briton Hadden |
E30918
|
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: Briton Hadden | Statement: [Briton Hadden, fullName, Briton Hadden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briton Hadden Context triple: [Briton Hadden, fullName, Briton Hadden]
-
A.
Briton Hadden
chosen
Briton Hadden was an American journalist and co-founder of Time magazine, instrumental in shaping modern news reporting and magazine journalism.
-
B.
S. R. Hadden
S. R. Hadden is a wealthy, eccentric industrialist and visionary technologist who secretly funds and guides the search for extraterrestrial intelligence in Carl Sagan’s novel and film "Contact."
-
C.
Ilo Browne Wallace
Ilo Browne Wallace was an American political spouse best known as the wife of Henry A. Wallace, the 33rd Vice President of the United States.
-
D.
John Bennett
John Bennett is the central human protagonist of the comedy film "Ted 2," known for his lifelong friendship with his foul-mouthed, living teddy bear.
-
E.
John Cassell
John Cassell was a 19th-century British publisher, educator, and social reformer known for producing affordable literature and promoting popular education.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6739d2481909ea8d8e075f62cf3 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15aff1288190a3e36324d975d482 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.