Triple
T3349375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahitian Women on the Beach |
E70451
|
entity |
| Predicate | portraysEthnicity |
P15072
|
FINISHED |
| Object | Polynesian |
—
|
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: Polynesian | Statement: [Tahitian Women on the Beach, portraysEthnicity, Polynesian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysEthnicity Context triple: [Tahitian Women on the Beach, portraysEthnicity, Polynesian]
-
A.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
B.
depictsNationality
chosen
Indicates that one entity visually represents or portrays the nationality or national identity of another entity.
-
C.
portraysNativeAmericans
Indicates that an entity depicts or represents Native Americans in some form, such as through imagery, narrative, or characterization.
-
D.
representedEthnicFirst
Indicates that an entity served as the first person of a given ethnic group to represent another entity (such as an institution, organization, or jurisdiction).
-
E.
protagonistEthnicity
Indicates the ethnic background or cultural heritage associated with a work’s main character.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21f3ae48190a33530712da01bc3 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.