Triple
T21679653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havoc and Bright Lights |
E535064
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Receive |
—
|
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: Receive | Statement: [Havoc and Bright Lights, track, Receive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Receive Context triple: [Havoc and Bright Lights, track, Receive]
-
A.
Receive
chosen
"Receive" is a song by Canadian singer-songwriter Alanis Morissette from her album "Havoc and Bright Lights."
-
B.
Accept
Accept is a German heavy metal band, formed in the 1970s, known as one of the pioneering groups of the speed and thrash metal-influencing Teutonic metal scene.
-
C.
Empfingen
Empfingen is a municipality in the state of Baden-Württemberg in southwestern Germany.
-
D.
Dar e Receber
"Dar e Receber" is a popular song by Portuguese singer-songwriter António Variações, known for its emotive lyrics and distinctive blend of pop and traditional Portuguese influences.
-
E.
Sendim
Sendim is a town in northeastern Portugal known for its Mirandese-speaking community and distinct local culture.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a11ce548190aaff404aed6a76cd |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:43 p.m.