Triple
T18167146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Older |
E434922
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
To Be Forgiven
"To Be Forgiven" is a song by the British rock band Blur from their 1995 album "The Great Escape."
|
E1309188
|
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: To Be Forgiven | Statement: [Older, hasPart, To Be Forgiven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: To Be Forgiven Context triple: [Older, hasPart, To Be Forgiven]
-
A.
All Is Forgiven
All Is Forgiven is a short-lived 1986 American sitcom in which Bess Armstrong starred as a working mother balancing family life and a career in television.
-
B.
All Is Forgiven
"All Is Forgiven" is a track from Jim James's debut solo album "Regions of Light and Sound of God," blending soulful vocals with atmospheric, experimental rock elements.
-
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.
Forgiven
Forgiven is a song by the band Ghost of a Dog.
- 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: To Be Forgiven Triple: [Older, hasPart, To Be Forgiven]
Generated description
"To Be Forgiven" is a song by the British rock band Blur from their 1995 album "The Great Escape."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: To Be Forgiven Target entity description: "To Be Forgiven" is a song by the British rock band Blur from their 1995 album "The Great Escape."
-
A.
All Is Forgiven
All Is Forgiven is a short-lived 1986 American sitcom in which Bess Armstrong starred as a working mother balancing family life and a career in television.
-
B.
All Is Forgiven
"All Is Forgiven" is a track from Jim James's debut solo album "Regions of Light and Sound of God," blending soulful vocals with atmospheric, experimental rock elements.
-
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.
Forgiven
Forgiven is a song by the band Ghost of a Dog.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec7e41c8190bd19dc5f62c69608 |
completed | April 19, 2026, 1:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fc4790081909e87ae00ba6c83bf |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a039099efbc8190a4a81caabbb65962 |
completed | May 12, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03916f64a08190bbc96ef6308caa52 |
completed | May 12, 2026, 8:45 p.m. |
Created at: April 10, 2026, 10:30 a.m.