Triple
T7302040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Urquhart |
E167880
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Urquhart |
E167880
|
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 Urquhart | Statement: [David Urquhart, name, David Urquhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Urquhart Context triple: [David Urquhart, name, David Urquhart]
-
A.
David Urquhart
chosen
David Urquhart was a 19th-century Scottish diplomat, writer, and politician known for his advocacy of Turkish interests and his strong opposition to Russian expansion.
-
B.
Brian Urquhart
Brian Urquhart was a British diplomat and United Nations official renowned for his pioneering role in developing UN peacekeeping operations in the mid-20th century.
-
C.
Ken MacLeod
Ken MacLeod is a Scottish science fiction author known for his politically charged, idea-driven novels that explore socialism, libertarianism, and future societies.
-
D.
Alasdair MacLeod
Alasdair MacLeod is a Scottish businessman known for his marriage to media executive Prudence Murdoch, daughter of Rupert Murdoch.
-
E.
Graham Carr
Graham Carr is a Canadian academic and administrator who serves as the president of Concordia University in Montreal.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb09164819099c4479d48c1688a |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e558098c819091562566c59332e2 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.