Triple
T8152837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isadora Duncan (cenotaph) |
E190370
|
entity |
| Predicate | dedicatedToNationality |
P80845
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Isadora Duncan (cenotaph), dedicatedToNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedToNationality Context triple: [Isadora Duncan (cenotaph), dedicatedToNationality, American]
-
A.
nationalityRepresented
Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
-
B.
ledByNationality
Indicates that an entity (such as an organization, group, or project) is led or headed by a person or group of a specified nationality.
-
C.
includedNationality
Indicates that one entity’s set of nationalities contains or encompasses the nationality of another entity.
-
D.
namedForNationality
Indicates that something is named after or in reference to a particular nationality or national identity.
-
E.
nationalityOfPersonReferredTo
Indicates that one entity is the country or nationality associated with the person referenced by the other 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d4494c8190aad2ee302e90670f |
completed | March 31, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39ba412881908a053e88f29a9588 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:37 p.m.