Triple
T35304958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. D. Scudellari |
E1019609
|
entity |
| Predicate | hasCreatedArtworkFor |
P94837
|
FINISHED |
| Object | Cormac McCarthy’s works |
—
|
LITERAL 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: Cormac McCarthy’s works | Statement: [R. D. Scudellari, hasCreatedArtworkFor, Cormac McCarthy’s works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreatedArtworkFor Context triple: [R. D. Scudellari, hasCreatedArtworkFor, Cormac McCarthy’s works]
-
A.
hasArtisticWorks
Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
-
B.
hasCreatedWorksFor
chosen
Indicates that one entity has produced or created works (such as art, documents, or products) on behalf of or for the benefit of another entity.
-
C.
hasCreatedPublicArt
Indicates that an entity has produced or is responsible for creating a work of art intended for display in public spaces.
-
D.
hasArtworksFrom
Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
-
E.
hasArtisticActivity
Indicates that an entity engages in, participates in, or is associated with an artistic activity or creative practice.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 3, 2026, 4:03 p.m.