Triple
T20410040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-ha |
E500564
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Scoundrel Days |
—
|
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: Scoundrel Days | Statement: [A-ha, album, Scoundrel Days]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scoundrel Days Context triple: [A-ha, album, Scoundrel Days]
-
A.
Scoundrel Days
chosen
Scoundrel Days is the second studio album by Norwegian synth-pop band A-ha, known for its darker tone and sophisticated production compared to their debut.
-
B.
Scoundrel Time
Scoundrel Time is Lillian Hellman’s controversial memoir chronicling the impact of McCarthy-era anti-communist investigations on her life and career.
-
C.
The Scoundrel
The Scoundrel is a 1935 American drama film that gained prominence for its acclaimed original story and early Academy Award recognition.
-
D.
Dark Days
Dark Days is a 19th-century novel by Hugh Conway, best known as a follow-up to his popular sensation fiction that blends mystery, romance, and melodrama.
-
E.
Scoundrels
Scoundrels is an American television dramedy series about a family of small-time criminals trying to go straight after the father is sent to prison.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.