Triple
T18737425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupert Hart-Davis |
E458201
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hart-Davis |
—
|
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: Hart-Davis | Statement: [Rupert Hart-Davis, familyName, Hart-Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hart-Davis Context triple: [Rupert Hart-Davis, familyName, Hart-Davis]
-
A.
Hart-Davis
chosen
Hart-Davis is a British surname notably associated with figures such as science broadcaster and historian Adam Hart-Davis.
-
B.
McNaught-Davis
McNaught-Davis is the surname of Ian McNaught-Davis, a British mountaineer and television presenter known for popularizing computing in the UK.
-
C.
Armet & Davis
Armet & Davis was a mid-20th-century American architectural firm best known for its futuristic, space-age commercial designs that helped define the Googie style, especially in coffee shops and roadside restaurants.
-
D.
Lord & Hewlett
Lord & Hewlett was an American architectural firm active in the early 20th century, known for designing significant public and institutional buildings.
-
E.
Hayes & Harlington
Hayes & Harlington is a railway station in west London that serves as a key stop on the Elizabeth line, connecting the local area to central London and Heathrow.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.