Triple
T35316895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Foster |
E1019927
|
entity |
| Predicate | hasColoristDepictions |
P206929
|
FINISHED |
| Object | various Marvel colorists |
—
|
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: various Marvel colorists | Statement: [Tom Foster, hasColoristDepictions, various Marvel colorists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColoristDepictions Context triple: [Tom Foster, hasColoristDepictions, various Marvel colorists]
-
A.
hasColorIllustrations
Indicates that an entity contains or includes illustrations rendered in color.
-
B.
depictsHairColor
Indicates that one entity visually represents or portrays the hair color of another entity.
-
C.
hasWriterDepictions
Indicates that one entity includes portrayals or representations of a writer as part of its content or description.
-
D.
isDepictedVia
Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
-
E.
hasNotableIllustrationsOf
Indicates that something contains or features particularly significant or noteworthy illustrations depicting another entity or subject.
- 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.