Triple
T12704928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pippard |
E303558
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Brian Pippard |
E62520
|
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: Brian Pippard | Statement: [Pippard, notableBearer, Brian Pippard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Pippard Context triple: [Pippard, notableBearer, Brian Pippard]
-
A.
Brian Pippard
chosen
Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
-
B.
Steve Pugh
Steve Pugh is a British comic book artist best known for his work on titles such as Animal Man, Preacher, and Hotwire.
-
C.
Stephen Pycroft
Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
-
D.
Sam Pilling
Sam Pilling is a British director known for his visually inventive and narrative-driven music videos for prominent contemporary artists.
-
E.
Stuart Pritchard
Stuart Pritchard is the socially awkward, romantically inept British web designer in Los Angeles who serves as the main protagonist of the comedy series "Hello Ladies."
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961f1adec8190a53c80e9556b3fe0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75467a1a081908395b48615e3ea9b |
completed | May 3, 2026, 1:57 p.m. |
Created at: April 9, 2026, 5:23 p.m.