Triple
T9096914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Urquhart |
E218048
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thomas Urquhart |
E218048
|
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: Thomas Urquhart | Statement: [Thomas Urquhart, name, Thomas Urquhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Urquhart Context triple: [Thomas Urquhart, name, Thomas Urquhart]
-
A.
Thomas Urquhart
chosen
Thomas Urquhart was a 17th-century Scottish writer, translator, and eccentric known for his elaborate prose and early English translation of Rabelais.
-
B.
John Sturgeon
John Sturgeon is an American hunter and conservationist best known for his U.S. Supreme Court case challenging federal authority over state-owned lands in Alaska.
-
C.
Robert Urquhart
Robert Urquhart was a Scottish actor known for his work in British film and television from the 1950s through the 1980s.
-
D.
William Kerr
William Kerr is a film editor known for his work on major Hollywood comedies, including "The Five-Year Engagement."
-
E.
William Kerr
William Kerr was a Scottish gardener and plant collector for the Royal Botanic Gardens, Kew, known for introducing numerous Asian plant species to Europe.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b7d0d48190a3b15f35bef087e3 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05bed784c8190aa538a037bb2eeb8 |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:15 p.m.