Triple
T17512100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roma Ryan |
E426474
|
entity |
| Predicate | wroteLyricsFor |
P1141
|
FINISHED |
| Object | May It Be |
—
|
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: May It Be | Statement: [Roma Ryan, wroteLyricsFor, May It Be]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: May It Be Context triple: [Roma Ryan, wroteLyricsFor, May It Be]
-
A.
May It Be
chosen
"May It Be" is a hauntingly melodic song by Irish singer Enya, best known as one of the main themes for the film "The Lord of the Rings: The Fellowship of the Ring."
-
B.
Swan Song
Swan Song is the English title commonly used for Franz Schubert’s posthumously published collection of late lieder known as "Schwanengesang."
-
C.
Swan Song
"Swan Song" is a segment or episode within the 1924 silent film anthology *A Modern Comedy*, likely serving as one of its narrative parts.
-
D.
Swan Song
Swan Song is a 2021 science fiction drama film starring Mahershala Ali as a terminally ill man who considers cloning himself to spare his family grief.
-
E.
Swan Song
Swan Song is the final novel in John Galsworthy’s Forsyte Saga, concluding the multigenerational story of the Forsyte family.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525c21c88190a9394c4bce006a38 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.