Triple
T10469113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylver |
E246878
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Forgiven |
E865208
|
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: Forgiven | Statement: [Sylver, notableSong, Forgiven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forgiven Context triple: [Sylver, notableSong, Forgiven]
-
A.
Forgiven
"Forgiven" is a track from 2 Chainz's introspective hip-hop album "Rap or Go to the League," reflecting themes of struggle, redemption, and personal growth.
-
B.
Forgiven
chosen
Forgiven is a song by the Dutch symphonic metal band Sylver.
-
C.
Your Forgiveness
"Your Forgiveness" is one of the meditative, spiritually themed tracks from Paul Simon’s song cycle *Seven Psalms*.
-
D.
Father Forgive
Father Forgive is the famous two-word Christian plea for mercy and reconciliation prominently associated with Coventry Cathedral’s message of forgiveness after wartime destruction.
-
E.
Sweet Forgiveness
Sweet Forgiveness is a 1977 blues-rock album by American singer-songwriter and guitarist Bonnie Raitt, noted for its soulful vocals and slide guitar work.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:20 p.m.