Triple
T6615445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redemption Song |
E149338
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Uprising |
E159209
|
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: Uprising | Statement: [Redemption Song, partOf, Uprising]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uprising Context triple: [Redemption Song, partOf, Uprising]
-
A.
Uprising
chosen
Uprising is a 1980 reggae album by Bob Marley and the Wailers, known for its spiritual themes and including the iconic track "Redemption Song."
-
B.
Uprising
Uprising is a 2001 historical war drama film depicting the Warsaw Ghetto Uprising during World War II.
-
C.
The Uprising
The Uprising is a politically charged painting by French artist Honoré Daumier that powerfully depicts the fervor and tension of popular revolt in 19th-century France.
-
D.
Revolt
Revolt is a music-oriented digital cable television network and media company founded by Sean "Diddy" Combs that focuses on hip-hop culture, news, and lifestyle content.
-
E.
Révolte
Révolte is a section of Charles Baudelaire’s poetry collection *Les Fleurs du mal* that explores themes of rebellion, blasphemy, and defiance against divine and moral authority.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af57fd748190bb64f1965bab319f |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee61df88190b3772e4756670b8f |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 1:57 p.m.