Triple
T12172938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Sinclair |
E290015
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | David Andrew Sinclair |
E290015
|
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: David Andrew Sinclair | Statement: [David Sinclair, birthName, David Andrew Sinclair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Andrew Sinclair Context triple: [David Sinclair, birthName, David Andrew Sinclair]
-
A.
David Sinclair
David Sinclair was the son of American novelist and social reformer Upton Sinclair.
-
B.
David Sinclair (biologist)
chosen
David Sinclair is an Australian biologist and Harvard Medical School professor best known for his pioneering research on aging, sirtuins, and longevity therapeutics.
-
C.
Nigel de Grey
Nigel de Grey was a British cryptanalyst and intelligence officer renowned for his work in codebreaking at Room 40 during World War I.
-
D.
Douglas Ainslie
Douglas Ainslie is a mild-mannered, retired British man seeking a new start in India in the film "The Best Exotic Marigold Hotel," portrayed by Bill Nighy.
-
E.
Julian Filipowicz
Julian Filipowicz was a Polish military officer and general best known for his leadership in the early battles of World War II.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915dab42881908e2580c631d4d1cf |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a85e42481908c5517a24f7688e0 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.