Triple
T10937726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des Bishop |
E258380
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Des Bishop |
E258380
|
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: Des Bishop | Statement: [Des Bishop, name, Des Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Des Bishop Context triple: [Des Bishop, name, Des Bishop]
-
A.
Des Bishop
chosen
Des Bishop is an Irish-American stand-up comedian and television personality known for his socially conscious humor and work on Irish and Chinese culture.
-
B.
Eric Bishop
Eric Bishop is the troubled Manchester postman and devoted Manchester United fan who serves as the central protagonist in Ken Loach’s film "Looking for Eric."
-
C.
Keith Bishop
Keith Bishop is a socially awkward and bumbling accountant character from the British television mockumentary series "The Office."
-
D.
Larkin Seiple
Larkin Seiple is an American cinematographer known for his visually inventive work on films such as "Everything Everywhere All at Once."
-
E.
Sam Giddings
Sam Giddings is a central playable protagonist in the horror video game Until Dawn, known for her resourcefulness, moral compass, and strong chances of survival depending on player choices.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b065288190b4216beee8e8a193 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bfd6a108190a0557598f68659fa |
completed | April 17, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:23 p.m.