Triple
T21336344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Krempe |
E526056
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Robert Urquhart |
—
|
NE NERFINISHED |
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: Robert Urquhart | Statement: [Paul Krempe, portrayedBy, Robert Urquhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Urquhart Context triple: [Paul Krempe, portrayedBy, Robert Urquhart]
-
A.
Robert Urquhart
chosen
Robert Urquhart was a Scottish actor known for his work in British film and television from the 1950s through the 1980s.
-
B.
Gordon Urquhart
Gordon Urquhart is a screenwriter best known for his work on the horror film "The Hypnotic Eye."
-
C.
Thomas Urquhart
Thomas Urquhart was a 17th-century Scottish writer, translator, and eccentric known for his elaborate prose and early English translation of Rabelais.
-
D.
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.
-
E.
Ian Dalrymple
Ian Dalrymple was a British screenwriter and film producer noted for his acclaimed work in early 20th-century cinema, including an Academy Award-winning screenplay.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d7d8b88190b2f346e4592b3bc5 |
completed | April 22, 2026, 9:46 a.m. |
Created at: April 16, 2026, 4:43 p.m.