Triple
T28710238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lewis May |
E729809
|
entity |
| Predicate | RudolphOriginalIllustrator |
P112835
|
FINISHED |
| Object | Denver Gillen |
—
|
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: Denver Gillen | Statement: [Robert Lewis May, RudolphOriginalIllustrator, Denver Gillen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RudolphOriginalIllustrator Context triple: [Robert Lewis May, RudolphOriginalIllustrator, Denver Gillen]
-
A.
RudolphOriginalMedium
Indicates that the specified medium is the original format or channel through which Rudolph was first created, presented, or distributed.
-
B.
allyOfRudolf
Indicates a relationship where one entity is an ally or supporter of Rudolf.
-
C.
illustratorOfOriginalCollection
chosen
Indicates that an entity served as the illustrator for the original version of a collection of works.
-
D.
illustratorOf
Indicates that one entity serves as the illustrator or creator of the visual artwork for another entity, such as a book, article, or other work.
-
E.
laterIllustrator
Indicates that one entity served as an illustrator for a work or project at a later time than another referenced illustrator or illustration.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 5:47 a.m.