Triple
T19861271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Need to Know |
E477267
|
entity |
| Predicate | hasOriginalArtistNationality |
P67547
|
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: [I Need to Know, hasOriginalArtistNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalArtistNationality Context triple: [I Need to Know, hasOriginalArtistNationality, American]
-
A.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
B.
originalPerformerNationality
chosen
Indicates the country or national identity associated with the performer who first performed the work or role.
-
C.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
D.
creditedNationalityOfArtist
Indicates the nationality that is officially attributed to an artist, as used in credits or cataloging, in relation to that artist.
-
E.
partOfArtistNationalityContext
Indicates that something functions as a component or aspect of the broader contextual framework surrounding an artist’s 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589a68b081908c2f333b6a292a1f |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.