Triple
T18193727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Flames |
E435605
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Clayman |
—
|
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: Clayman | Statement: [In Flames, notableAlbum, Clayman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clayman Context triple: [In Flames, notableAlbum, Clayman]
-
A.
Clayman
chosen
Clayman is a 2000 melodic death metal album by Swedish band In Flames, noted for its blend of aggressive riffs and catchy, melodic hooks.
-
B.
Ladykiller
"Ladykiller" is a moody, soulful rock song by The Horrible Crowes, the side project of The Gaslight Anthem’s Brian Fallon.
-
C.
Barbare
Barbare is one of the prose-poems in Arthur Rimbaud’s collection *Les Illuminations*, noted for its vivid, hallucinatory imagery and musical language.
-
D.
Klute
Klute is a 1971 neo-noir thriller film directed by Alan J. Pakula, best known for Jane Fonda’s Oscar-winning performance as a call girl involved in a missing-person investigation.
-
E.
Lady Killer
Lady Killer is a 1933 American pre-Code crime-comedy film starring James Cagney as a small-time crook who becomes a Hollywood star.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d12b688190842375dcc5d5537c |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.