Triple
T18282660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Mazur |
E437900
|
entity |
| Predicate | doctoralAdvisor |
P167
|
FINISHED |
| Object | Ralph Fox |
—
|
NE NERFINISHED |
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: Ralph Fox | Statement: [Barry Mazur, doctoralAdvisor, Ralph Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Fox Context triple: [Barry Mazur, doctoralAdvisor, Ralph Fox]
-
A.
Ralph Fox
chosen
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
B.
Ralph Fulton
Ralph Fulton is a British video game developer best known as the creative leader behind the Forza Horizon series and a founding figure of Playground Games.
-
C.
Robert Fox
Robert Fox is an American architect known for his innovative, sustainable high-rise designs and co-founding the prominent firm Fox & Fowle Architects.
-
D.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
E.
Ralph Fitzgerald
Ralph Fitzgerald is a central fictional character in Ken Follett’s historical novel "World Without End," whose life and actions significantly drive the story’s political and social conflicts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50057c5c881909fcda72f4a98c8c3 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:35 a.m.