Triple
T29539516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sykes |
E749450
|
entity |
| Predicate | hasLeadComedian |
P185309
|
FINISHED |
| Object | Eric Sykes |
—
|
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: Eric Sykes | Statement: [Sykes, hasLeadComedian, Eric Sykes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeadComedian Context triple: [Sykes, hasLeadComedian, Eric Sykes]
-
A.
starsComedianKnownFor
Indicates that a work features a comedian who is particularly recognized or famous for that role or performance.
-
B.
hasComedyAlbum
Indicates that one entity possesses, has released, or is associated with a comedy album.
-
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.
comedian
Indicates that the subject performs comedy or is recognized for engaging in comedic entertainment.
- F. None of above. chosen
Provenance (4 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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: April 28, 2026, 5:01 p.m.