Triple
T36425197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Light It Up |
E897277
|
entity |
| Predicate | performerOfNationality |
P3285
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Light It Up, performerOfNationality, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerOfNationality Context triple: [Light It Up, performerOfNationality, United States]
-
A.
performerLaterNationality
Indicates that the performer acquired or held this nationality at a later point in their life, after an earlier or original nationality.
-
B.
performingArtistNationality
chosen
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
C.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
-
D.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
E.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
Created at: May 3, 2026, 4:10 p.m.