Triple
T21269221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Horses |
E524209
|
entity |
| Predicate | containsPoem |
P21160
|
FINISHED |
| Object | Forgive Me |
—
|
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: Forgive Me | Statement: [Blue Horses, containsPoem, Forgive Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forgive Me Context triple: [Blue Horses, containsPoem, Forgive Me]
-
A.
Forgive Me
"Forgive Me" is an R&B song by American duo Chloe x Halle, known for its confident lyrics, intricate harmonies, and sleek, futuristic production.
-
B.
Forgive Me
"Forgive Me" is a musical track from the Season 5 soundtrack of the HBO television series Game of Thrones, composed by Ramin Djawadi.
-
C.
Forgive Me
"Forgive Me" is a musical track from the original score of the 2011 Marvel film "Thor," composed by Patrick Doyle.
-
D.
Forgive Me
chosen
Forgive Me is a title that has been used for various creative works, including songs, films, and television episodes, typically centered on themes of remorse and seeking redemption.
-
E.
I Am Forgiven
"I Am Forgiven" is a track from the hip-hop mixtape *Wrath of Caine* by rapper Pusha T.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651115081908b5083ba818a6bb1 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.