Triple
T27987928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Oval Lady |
E706793
|
entity |
| Predicate | creatorLaterNationality |
P102930
|
FINISHED |
| Object | Mexican |
—
|
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: Mexican | Statement: [The Oval Lady, creatorLaterNationality, Mexican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorLaterNationality Context triple: [The Oval Lady, creatorLaterNationality, Mexican]
-
A.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
B.
originalAuthorLaterNationality
chosen
Indicates that the original author of a work later acquired or changed to the specified nationality.
-
C.
titleHolderLaterNationality
Indicates that the person who held a particular title later acquired or changed to the specified nationality.
-
D.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
E.
createdByNationality
Indicates that something was created by an individual or group belonging to a specified nationality.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 27, 2026, 7:48 p.m.