Triple
T22462973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibendum |
E555274
|
entity |
| Predicate | earlyDepiction |
P83108
|
FINISHED |
| Object | cigar-smoking figure |
—
|
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: cigar-smoking figure | Statement: [Bibendum, earlyDepiction, cigar-smoking figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyDepiction Context triple: [Bibendum, earlyDepiction, cigar-smoking figure]
-
A.
laterDepiction
Indicates that one depiction represents a subsequent or later version, portrayal, or representation of the same subject as another depiction.
-
B.
depictedPersonEra
Indicates the historical era or time period associated with the person depicted in an image or representation.
-
C.
earlyVersion
chosen
Indicates that one entity is an earlier or preliminary version of another entity in a version sequence.
-
D.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
E.
visualEra
Indicates the historical or stylistic period to which the visual appearance or design of something belongs.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b80983081908084947b2e31c9d4 |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.