Triple
T23447104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moodring |
E565567
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Fallen |
—
|
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: Fallen | Statement: [Moodring, hasPart, Fallen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fallen Context triple: [Moodring, hasPart, Fallen]
-
A.
Fallen
Fallen is the breakthrough 2003 debut studio album by American rock band Evanescence, known for its gothic, piano-driven nu metal sound and hit singles like "Bring Me to Life" and "My Immortal."
-
B.
Fallen
chosen
"Fallen" is an R&B song by American singer Mýa, released in the early 2000s and known for its smooth groove and appearance on the "A Cinderella Story" soundtrack.
-
C.
Fallen
"Fallen" is a melancholic pop ballad by Canadian singer-songwriter Sarah McLachlan, known for its introspective lyrics and emotive vocal performance.
-
D.
Fallen
Fallen is a 1998 supernatural crime thriller film known for its dark atmosphere and exploration of demonic possession, featuring cinematography by Newton Thomas Sigel.
-
E.
Fallen
"Fallen" is a notable single by the artist Afterglow, recognized as one of their standout tracks.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a649f7e8819080aeb120afd57aad |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.