Triple
T34847310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knotty Ash |
E1004504
|
entity |
| Predicate | hasComedianAssociated |
P205584
|
FINISHED |
| Object | Ken Dodd |
E1035981
|
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: Ken Dodd | Statement: [Knotty Ash, hasComedianAssociated, Ken Dodd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComedianAssociated Context triple: [Knotty Ash, hasComedianAssociated, Ken Dodd]
-
A.
hasLeadComedian
Indicates that one entity serves as the primary or main comedian associated with another entity, such as a show, event, or performance.
-
B.
starsComedianKnownFor
Indicates that a work features a comedian who is particularly recognized or famous for that role or performance.
-
C.
associatedWithComedyTeam
Indicates a relationship where an entity is or has been part of, working with, or otherwise linked to a specific comedy team.
-
D.
hasComedyShows
Indicates that one entity offers, features, or includes comedy shows associated with another entity.
-
E.
partnerInComedyDuo
Indicates that two entities are partners together in a comedy duo act or performance team.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37795234888190993ea06c1a72a471 |
completed | June 21, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.