Triple
T20457316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Cohen |
E501824
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hallelujah |
—
|
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: Hallelujah | Statement: [Leonard Cohen, notableWork, Hallelujah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hallelujah Context triple: [Leonard Cohen, notableWork, Hallelujah]
-
A.
Hallelujah
chosen
"Hallelujah" is a widely acclaimed, often-covered song by Leonard Cohen known for its haunting melody and spiritually infused, poetic lyrics.
-
B.
Hallelujah
"Hallelujah" is a 2015 pop-rock single by Panic! at the Disco known for its gospel-inspired hooks and brass-driven, upbeat production.
-
C.
Say Hallelujah
"Say Hallelujah" is a song featured on the album "Let It Rain."
-
D.
Hallelujah Time
"Hallelujah Time" is a roots reggae song by The Wailers, featuring Bob Marley, known for its spiritually uplifting lyrics and classic 1970s reggae sound.
-
E.
Hallelujah, Baby!
Hallelujah, Baby! is a 1967 Broadway musical that follows an African American woman's rise to stardom against the backdrop of changing racial and social conditions in the United States.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a2a8a88190992211b09295d8ea |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.