Triple
T18741862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autumn |
E458310
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Lullaby |
—
|
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: Lullaby | Statement: [Autumn, hasTrack, Lullaby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lullaby Context triple: [Autumn, hasTrack, Lullaby]
-
A.
Lullaby
Lullaby is a darkly comic horror novel by Chuck Palahniuk that follows a journalist who discovers a deadly "culling song" capable of killing anyone who hears it.
-
B.
Lullaby
Lullaby is a film directed by South African filmmaker Darrell Roodt, known for his socially conscious and emotionally driven storytelling.
-
C.
Lullaby
chosen
"Lullaby" is a dark, atmospheric 1989 song by English rock band The Cure, known for its haunting lyrics, eerie music video, and enduring popularity as one of the band's signature tracks.
-
D.
Lullaby
"Lullaby" is a smooth R&B track by Luvanmusiq that showcases soulful vocals and mellow, romantic production.
-
E.
Lullaby
Lullaby is a children's lullaby album by singer-songwriter Jewel, featuring gentle, soothing songs intended to help young listeners relax and fall asleep.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768fc1f8819085a2abf129ade34b |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.