Triple
T17618404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Other |
E429644
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | White Light |
—
|
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: White Light | Statement: [No Other, follows, White Light]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Light Context triple: [No Other, follows, White Light]
-
A.
White Light
chosen
"White Light" is a 1971 country-rock album by American singer-songwriter Gene Clark, acclaimed for its introspective songwriting and understated, folk-influenced sound.
-
B.
White Light
"White Light" is a 2015 studio album by Irish pop-rock band The Corrs, marking their return to recording after a decade-long hiatus.
-
C.
White Light
White Light is a significant artwork by Australian artist and filmmaker George Gittoes, known for his politically charged and war-themed visual narratives.
-
D.
One Light
"One Light" is a song by Dutch electronic music producer and DJ Jordi.
-
E.
Black Light
Black Light is a thriller novel by Stephen Hunter featuring Vietnam War veteran and expert sniper Bob Lee Swagger as he investigates a decades-old conspiracy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3489dc8190a619c58025dbb250 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.