Triple
T5381299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Grande Odalisque |
E113088
|
entity |
| Predicate | depictsEthnicContext |
P63657
|
FINISHED |
| Object | imagined Near Eastern harem |
—
|
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: imagined Near Eastern harem | Statement: [La Grande Odalisque, depictsEthnicContext, imagined Near Eastern harem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsEthnicContext Context triple: [La Grande Odalisque, depictsEthnicContext, imagined Near Eastern harem]
-
A.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
B.
depictsNationality
Indicates that one entity visually represents or portrays the nationality or national identity of another entity.
-
C.
involvedEthnicGroup
Indicates that a particular ethnic group participates in, is affected by, or is otherwise associated with the referenced event, situation, or entity.
-
D.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
E.
culturalDepictionBy
Indicates that one entity serves as the creator or source of a cultural representation or portrayal of another entity.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd887f5b0081909456992d1a071928 |
completed | March 20, 2026, 5:48 p.m. |
Created at: March 20, 2026, 2:03 p.m.