Triple
T523145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduation |
E10860
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Flashing Lights |
E65311
|
NE 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: Flashing Lights | Statement: [Graduation, notableTrack, Flashing Lights]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flashing Lights Context triple: [Graduation, notableTrack, Flashing Lights]
-
A.
Flashing Lights
chosen
"Flashing Lights" is a popular hip-hop song by Kanye West, featuring Dwele, known for its atmospheric production and introspective lyrics.
-
B.
Green Light
"Green Light" is an upbeat, dance-pop and R&B single by John Legend featuring André 3000, known for its energetic tempo and departure from Legend’s usual soulful ballad style.
-
C.
Limelight
Limelight is a 1952 drama film written, directed by, and starring Charlie Chaplin, in which he portrays a faded music-hall comedian who befriends and mentors a young ballerina.
-
D.
Sparks
Sparks is a city in northern Nevada known for its proximity to Reno and its role as a regional hub for industry, transportation, and outdoor recreation.
-
E.
And There Was Light
"And There Was Light" is the English motto of Morehouse College, reflecting its mission to illuminate minds and foster leadership and service.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b4f01881908b408357ff113308 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b23f97448190bd85a8c85d338039 |
completed | March 1, 2026, 9:40 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.