Triple
T2205408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl at Mirror |
E50584
|
entity |
| Predicate | hasReferenceIn |
P8581
|
FINISHED |
| Object | art history texts on American illustration |
—
|
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: art history texts on American illustration | Statement: [Girl at Mirror, hasReferenceIn, art history texts on American illustration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReferenceIn Context triple: [Girl at Mirror, hasReferenceIn, art history texts on American illustration]
-
A.
isReferencedIn
chosen
Indicates that one entity is cited, mentioned, or otherwise referred to within another entity.
-
B.
hasMapReference
Indicates that an entity is associated with a specific map or map location reference.
-
C.
hasReferencePolicy
Indicates that an entity is governed by or associated with a specific reference policy that defines how it should be used, accessed, or managed.
-
D.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
E.
hasRelation
Indicates that there exists some specified relationship or association between two entities.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.