Triple
T11898205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fine Line |
E283086
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Lights Up |
E952435
|
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: Lights Up | Statement: [Fine Line, single, Lights Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lights Up Context triple: [Fine Line, single, Lights Up]
-
A.
Lights Up
chosen
"Lights Up" is a 2019 pop single by English singer Harry Styles, known for its introspective lyrics and genre-blending, soulful sound that marked his return after his debut solo album.
-
B.
Up & Up
Up & Up is Target Corporation’s private-label brand offering a wide range of everyday household, personal care, and essential consumer products at value prices.
-
C.
Hold Up
"Hold Up" is a genre-blending, reggae-infused song by Beyoncé from her critically acclaimed 2016 visual album *Lemonade*.
-
D.
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
-
E.
Get Up
Get Up is a morning sports talk and analysis show on ESPN featuring discussions, highlights, and commentary on major sports stories and events.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd13cc10819089d8d5103e562924 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4586898888190b58e3102d7edf7df |
completed | May 1, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:44 p.m.