Triple
T16953339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In and Out of Love |
E411235
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Within Temptation |
E1210660
|
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: Within Temptation | Statement: [In and Out of Love, associatedAct, Within Temptation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Within Temptation Context triple: [In and Out of Love, associatedAct, Within Temptation]
-
A.
Within Temptation
chosen
Within Temptation is a Dutch symphonic metal band known for its orchestral sound, powerful female vocals, and cinematic, gothic-inspired themes.
-
B.
Lacuna Coil
Lacuna Coil is an Italian gothic metal band known for blending heavy riffs with atmospheric melodies and dual male–female vocals.
-
C.
Nightrain
"Nightrain" is a hard rock song by Guns N' Roses from their debut album *Appetite for Destruction*, known for its driving riff and energetic live performances.
-
D.
While She Sleeps
"While She Sleeps" is a suspenseful crime novel by British author Ethel Lina White, known for its tense atmosphere and intricate mystery plot.
-
E.
Evanescence
Evanescence is an American rock band known for its gothic, symphonic sound and breakthrough success with the early 2000s hit "Bring Me to Life."
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01a4ae8819085a6ce01fbc71b0f |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.