Triple
T15926970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahershala Ali |
E386227
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Swan Song |
E386228
|
NE FINISHED |
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: Swan Song | Statement: [Mahershala Ali, notableWork, Swan Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swan Song Context triple: [Mahershala Ali, notableWork, Swan Song]
-
A.
Swan Song
chosen
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.
-
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 the final novel in John Galsworthy’s Forsyte Saga, concluding the multigenerational story of the Forsyte family.
-
E.
The Death Song
"The Death Song" is a track from Marilyn Manson's concept album "Holy Wood (In the Shadow of the Valley of Death)," reflecting the record's dark, politically charged themes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156866de48190a744e8dcaa0c66f1 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7055a48190b0f426f3e3c22f9d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.