Triple
T20410039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-ha |
E500564
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Hunting High and Low |
—
|
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: Hunting High and Low | Statement: [A-ha, album, Hunting High and Low]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunting High and Low Context triple: [A-ha, album, Hunting High and Low]
-
A.
Hunting High and Low
chosen
"Hunting High and Low" is the 1985 debut studio album by Norwegian synth-pop band A-ha, featuring their breakthrough hit "Take On Me" and establishing their international fame.
-
B.
Red Heat
Red Heat is a 1988 buddy-cop action film starring Arnold Schwarzenegger and James Belushi, directed by Walter Hill.
-
C.
Pronto Monto
Pronto Monto is a 1978 folk-pop album by Canadian singer-songwriters Kate and Anna McGarrigle, known for its lush arrangements and witty, bilingual songwriting.
-
D.
This Gun for Hire
This Gun for Hire is a 1942 American film noir crime thriller, best known for pairing Alan Ladd and Veronica Lake in one of the genre’s defining early roles.
-
E.
A Hatful of Rain
A Hatful of Rain is a 1957 American drama film that explores the impact of drug addiction on a young Korean War veteran and his family.
- 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.