Triple
T9183762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Harvey |
E220400
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Glowinthedark |
E783062
|
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: Glowinthedark | Statement: [Albert Harvey, associatedAct, Glowinthedark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glowinthedark Context triple: [Albert Harvey, associatedAct, Glowinthedark]
-
A.
Glowinthedark
chosen
Glowinthedark is a Dutch electronic dance music duo known for their high-energy house tracks and festival performances.
-
B.
Glow
"Glow" is a song featured on Kelly Clarkson's holiday album "When Christmas Comes Around..." that showcases her soulful vocals in a festive, contemporary pop setting.
-
C.
Glow
"Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
-
D.
Glow
Glow is a generative flow-based model architecture used for high-quality image and audio synthesis through invertible transformations.
-
E.
Fear of the Dark
"Fear of the Dark" is a 1992 heavy metal song and album by Iron Maiden, renowned for its atmospheric live performances and status as a fan favorite in the band's catalog.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31734908190b8ebe3b57849ca5f |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065cfff508190aee691404444a394 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:24 p.m.