Triple
T185450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Syndics of the Drapers’ Guild |
E3969
|
entity |
| Predicate | depictionDescription |
P1581
|
FINISHED |
| Object | officials gathered around a table in a moment of interrupted business |
—
|
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: officials gathered around a table in a moment of interrupted business | Statement: [The Syndics of the Drapers’ Guild, depictionDescription, officials gathered around a table in a moment of interrupted business]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictionDescription Context triple: [The Syndics of the Drapers’ Guild, depictionDescription, officials gathered around a table in a moment of interrupted business]
-
A.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
C.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
D.
depictsInstitution
Indicates that one entity visually represents or portrays an institution as its subject.
-
E.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592867108190b5d316c055575449 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566fb08c81908faff2fde552105d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.