Triple
T10738441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thor (2011 film) score |
E253254
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Forgive Me
"Forgive Me" is a musical track from the original score of the 2011 Marvel film "Thor," composed by Patrick Doyle.
|
E883762
|
NE FINISHED |
How this triple was built (4 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: [Thor (2011 film) score, hasTrack, Forgive Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forgive Me Context triple: [Thor (2011 film) score, hasTrack, 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.
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.
Forgiven
Forgiven is a song by the Dutch symphonic metal band Sylver.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Forgive Me Triple: [Thor (2011 film) score, hasTrack, Forgive Me]
Generated description
"Forgive Me" is a musical track from the original score of the 2011 Marvel film "Thor," composed by Patrick Doyle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forgive Me Target entity description: "Forgive Me" is a musical track from the original score of the 2011 Marvel film "Thor," composed by Patrick Doyle.
-
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.
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.
Forgiven
Forgiven is a song by the Dutch symphonic metal band Sylver.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710424d8c81908ee9b59d622f2af5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22dce1cc8190a3511d86e8bd6d3e |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.