Triple
T22391776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killer Be Killed |
E553527
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Face Down |
—
|
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: Face Down | Statement: [Killer Be Killed, notableSong, Face Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Face Down Context triple: [Killer Be Killed, notableSong, Face Down]
-
A.
Face Down
chosen
Face Down is a rock band known for its connection to the Swedish metal group The Haunted.
-
B.
Face Down in the Moment
"Face Down in the Moment" is a soulful, introspective track by Nathaniel Rateliff & The Night Sweats that blends roots rock, Americana, and emotional lyricism.
-
C.
Face Up
"Face Up" is a song by the American punk rock band Rancid from their album "Honor Is All We Know."
-
D.
Hands Down
"Hands Down" is one of Dashboard Confessional's most popular emo-acoustic songs, known for its intensely personal lyrics about a perfect, unforgettable night.
-
E.
Staring Down
"Staring Down" is a rock song by American alternative rock band Collective Soul, known for its melodic hooks and introspective lyrics.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585b56208190b53b90a81a807a9d |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.