Triple
T16953134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intense |
E411231
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Last Stop Before Heaven
"Last Stop Before Heaven" is a song by the band Intense, known for its powerful, melodic heavy metal style.
|
E1243416
|
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: Last Stop Before Heaven | Statement: [Intense, hasTrack, Last Stop Before Heaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Last Stop Before Heaven Context triple: [Intense, hasTrack, Last Stop Before Heaven]
-
A.
A Night This Side of Dying
"A Night This Side of Dying" is a song by Carole King featured on her 1974 album *Wrap Around Joy*.
-
B.
Seven Ways of Going
"Seven Ways of Going" is a track by the English post-punk band Wave, known for its atmospheric sound and introspective style.
-
C.
And Now Goodbye
And Now Goodbye is a novel by James Hilton, best known as an earlier work by the author of Lost Horizon.
-
D.
Homeward Looking Angel
Homeward Looking Angel is a 1992 country music album by American singer Pam Tillis that helped establish her as a major artist in the genre.
-
E.
Last Stop
Last Stop is a narrative-driven adventure video game set in modern-day London that follows the intertwined supernatural stories of three playable characters.
- 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: Last Stop Before Heaven Triple: [Intense, hasTrack, Last Stop Before Heaven]
Generated description
"Last Stop Before Heaven" is a song by the band Intense, known for its powerful, melodic heavy metal style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Last Stop Before Heaven Target entity description: "Last Stop Before Heaven" is a song by the band Intense, known for its powerful, melodic heavy metal style.
-
A.
A Night This Side of Dying
"A Night This Side of Dying" is a song by Carole King featured on her 1974 album *Wrap Around Joy*.
-
B.
Seven Ways of Going
"Seven Ways of Going" is a track by the English post-punk band Wave, known for its atmospheric sound and introspective style.
-
C.
And Now Goodbye
And Now Goodbye is a novel by James Hilton, best known as an earlier work by the author of Lost Horizon.
-
D.
Homeward Looking Angel
Homeward Looking Angel is a 1992 country music album by American singer Pam Tillis that helped establish her as a major artist in the genre.
-
E.
Last Stop
Last Stop is a narrative-driven adventure video game set in modern-day London that follows the intertwined supernatural stories of three playable characters.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01a4ae8819085a6ce01fbc71b0f |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d5503be88190ac15a327ff3782ec |
completed | May 10, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d66e450c8190ae0befd3d7875ed8 |
completed | May 10, 2026, 7:03 p.m. |
Created at: April 10, 2026, 5:31 a.m.