Triple
T27234712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cigars of the Pharaoh |
E682242
|
entity |
| Predicate | colorizedVersionPublisher |
P168944
|
FINISHED |
| Object | Casterman |
—
|
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: Casterman | Statement: [Cigars of the Pharaoh, colorizedVersionPublisher, Casterman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorizedVersionPublisher Context triple: [Cigars of the Pharaoh, colorizedVersionPublisher, Casterman]
-
A.
colorizedEditionYear
Indicates the year in which a previously non-color work was released or produced in a colorized edition.
-
B.
colorTincture
Indicates that one entity has a specific heraldic color or tincture applied to it.
-
C.
coloredBy
Indicates that one entity serves as the source, agent, or cause of the color or coloration of another entity.
-
D.
editionColorName
Indicates the specific color designation or name assigned to a particular edition of an item.
-
E.
colorImaging
Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 27, 2026, 9:47 a.m.