Triple
T32662227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog's Dinners |
E835048
|
entity |
| Predicate | hasAuthorVoiceRole |
P141839
|
FINISHED |
| Object | K-9 in Doctor Who |
—
|
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: K-9 in Doctor Who | Statement: [Dog's Dinners, hasAuthorVoiceRole, K-9 in Doctor Who]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorVoiceRole Context triple: [Dog's Dinners, hasAuthorVoiceRole, K-9 in Doctor Who]
-
A.
hasAuthorOfVoiceover
chosen
Indicates that an entity has a specific person or agent who provided the voiceover for it.
-
B.
hasAuthorRoleFor
Indicates that an entity serves in the role of author for another entity, such as a work, document, or publication.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
E.
hasContributorRoleOfAuthor
Indicates that an entity participates as a contributor specifically in the role of an author in relation to another entity.
- F. None of above.
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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 1, 2026, 1:08 a.m.