Triple
T1417199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urquhart |
E31943
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Robin Urquhart
Robin Urquhart is an individual notable enough to be recognized as a prominent bearer of the surname Urquhart.
|
E161406
|
NE FINISHED |
How this triple was built (4 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: Robin Urquhart | Statement: [Urquhart, notableBearer, Robin Urquhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Urquhart Context triple: [Urquhart, notableBearer, Robin Urquhart]
-
A.
Red Whittaker
Red Whittaker is a pioneering American roboticist known for his groundbreaking work in field robotics, autonomous vehicles, and planetary exploration systems.
-
B.
Andrew Stearn
Andrew Stearn is a television producer known for his executive production work on the crime drama series "Animal Kingdom."
-
C.
Ian Stewart
Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
-
D.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
-
E.
Ronald Villency
Ronald Villency is the son of American television news personality and political commentator Kimberly Guilfoyle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Robin Urquhart Triple: [Urquhart, notableBearer, Robin Urquhart]
Generated description
Robin Urquhart is an individual notable enough to be recognized as a prominent bearer of the surname Urquhart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robin Urquhart Target entity description: Robin Urquhart is an individual notable enough to be recognized as a prominent bearer of the surname Urquhart.
-
A.
Red Whittaker
Red Whittaker is a pioneering American roboticist known for his groundbreaking work in field robotics, autonomous vehicles, and planetary exploration systems.
-
B.
Andrew Stearn
Andrew Stearn is a television producer known for his executive production work on the crime drama series "Animal Kingdom."
-
C.
Ian Stewart
Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
-
D.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
-
E.
Ronald Villency
Ronald Villency is the son of American television news personality and political commentator Kimberly Guilfoyle.
- F. None of above. chosen
Provenance (5 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c403ccdc8190b2a5fda037b6ea34 |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace5833bb88190bcaf8cf46264ab26 |
completed | March 8, 2026, 2:57 a.m. |
| NEDg | Description generation | batch_69ace61d60d48190a72aaa68264997eb |
completed | March 8, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6d8e35c8190bff4beff48977efc |
completed | March 8, 2026, 3:02 a.m. |
Created at: March 1, 2026, 7:59 p.m.