Triple
T10246294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ungodly Hour |
E240220
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Forgive Me |
E240224
|
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: Forgive Me | Statement: [Ungodly Hour, hasPart, Forgive Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forgive Me Context triple: [Ungodly Hour, hasPart, Forgive Me]
-
A.
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.
-
B.
Forgive Me
chosen
"Forgive Me" is an R&B song by American duo Chloe x Halle, known for its confident lyrics, intricate harmonies, and sleek, futuristic production.
-
C.
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.
-
D.
Show Me Forgiveness
"Show Me Forgiveness" is a brief, a cappella song by Björk from her experimental 2004 album Medúlla, showcasing her layered vocal harmonies and introspective lyrics.
-
E.
Pardon Me
"Pardon Me" is a popular alternative rock song by the American band Incubus, known for its introspective lyrics and fusion of rock, funk, and electronic elements.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22cfe1c8190afae178e11a59b8b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7a597188190880200d13784f18f |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:26 a.m.