Triple
T10299792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Shackleton |
E241596
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Shackleton |
E241596
|
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 Shackleton | Statement: [David Shackleton, name, David Shackleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Shackleton Context triple: [David Shackleton, name, David Shackleton]
-
A.
David Shackleton
chosen
David Shackleton was a prominent British trade union leader and Labour politician who played a key role in the early development of the Labour movement in the United Kingdom.
-
B.
Andrew Buckland
Andrew Buckland is a film editor best known for his Academy Award-winning work on the racing drama "Ford v Ferrari."
-
C.
Ian Craig Marsh
Ian Craig Marsh is a British electronic musician best known as a founding member of pioneering synth-pop bands The Human League and Heaven 17.
-
D.
Julian Wintle
Julian Wintle was a British film and television producer known for his work on numerous mid-20th-century productions, including influential thrillers and dramas.
-
E.
Geoff Martha
Geoff Martha is an American business executive best known as the chairman and chief executive officer of global medical technology company Medtronic.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ee10f88190b1615c49b8f24a26 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d3f2c2c8190a71e4a896d8753e7 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:44 a.m.