Triple
T13738041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncontrolled Substance |
E330002
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
The Cause
"The Cause" is a song by the band Uncontrolled Substance, likely reflecting their style and themes within their musical catalog.
|
E1057401
|
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: The Cause | Statement: [Uncontrolled Substance, hasTrack, The Cause]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Cause Context triple: [Uncontrolled Substance, hasTrack, The Cause]
-
A.
4 the Cause
4 the Cause was a 1990s American R&B group best known internationally for their hit cover of Ben E. King’s “Stand by Me.”
-
B.
Cause and Effect
"Cause and Effect" is a 2019 studio album by British band Keane that marked their return after a seven-year hiatus, featuring a more introspective and synth-driven pop-rock sound.
-
C.
Right Cause
Right Cause was a short-lived Russian liberal-conservative political party that emerged in 2008 as a pro-business, pro-Kremlin successor to earlier right-wing liberal movements.
-
D.
Mortal Causes
Mortal Causes is a crime novel by Scottish author Ian Rankin, featuring Inspector Rebus investigating a politically charged murder in Edinburgh.
-
E.
The Reason
"The Reason" is a country music song by Diamond Rio that earned the band a Grammy Award.
- 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: The Cause Triple: [Uncontrolled Substance, hasTrack, The Cause]
Generated description
"The Cause" is a song by the band Uncontrolled Substance, likely reflecting their style and themes within their musical catalog.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Cause Target entity description: "The Cause" is a song by the band Uncontrolled Substance, likely reflecting their style and themes within their musical catalog.
-
A.
4 the Cause
4 the Cause was a 1990s American R&B group best known internationally for their hit cover of Ben E. King’s “Stand by Me.”
-
B.
Cause and Effect
"Cause and Effect" is a 2019 studio album by British band Keane that marked their return after a seven-year hiatus, featuring a more introspective and synth-driven pop-rock sound.
-
C.
Right Cause
Right Cause was a short-lived Russian liberal-conservative political party that emerged in 2008 as a pro-business, pro-Kremlin successor to earlier right-wing liberal movements.
-
D.
Mortal Causes
Mortal Causes is a crime novel by Scottish author Ian Rankin, featuring Inspector Rebus investigating a politically charged murder in Edinburgh.
-
E.
The Reason
"The Reason" is a country music song by Diamond Rio that earned the band a Grammy Award.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0204d50c8190a5413cc9a1b26e14 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d68da04819089c95d9bfedc7496 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79f1051b48190ac4704b43e759237 |
completed | May 3, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79fdf974081909108b0fd89e76d56 |
completed | May 3, 2026, 7:19 p.m. |
Created at: April 9, 2026, 9:55 p.m.