Triple
T9375403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bends |
E225634
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Just
"Just" is a critically acclaimed alternative rock song by Radiohead, known for its intricate guitar work and enigmatic music video.
|
E794542
|
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: Just | Statement: [The Bends, track, Just]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Just Context triple: [The Bends, track, Just]
-
A.
Just
Just is the given name of Just Fontaine, the legendary French footballer who holds the record for most goals scored in a single FIFA World Cup tournament.
-
B.
Juist
Juist is a small, car-free barrier island in the North Sea off the coast of Germany, known for its long sandy beaches, dunes, and tranquil spa tourism.
-
C.
Justice
Justice is the Belgian federal ministerial portfolio responsible for the judicial system, courts, prosecution services, and the administration of criminal and civil law.
-
D.
Justice
Justice is a 1910 stage play by John Galsworthy that critiques the English legal and prison systems through the tragic story of a young clerk driven to crime.
-
E.
Justice
Justice is a French electronic music duo known for their heavy, distorted sound and influential role in the 2000s electro house and nu-disco scenes.
- 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: Just Triple: [The Bends, track, Just]
Generated description
"Just" is a critically acclaimed alternative rock song by Radiohead, known for its intricate guitar work and enigmatic music video.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Just Target entity description: "Just" is a critically acclaimed alternative rock song by Radiohead, known for its intricate guitar work and enigmatic music video.
-
A.
Just
Just is the given name of Just Fontaine, the legendary French footballer who holds the record for most goals scored in a single FIFA World Cup tournament.
-
B.
Juist
Juist is a small, car-free barrier island in the North Sea off the coast of Germany, known for its long sandy beaches, dunes, and tranquil spa tourism.
-
C.
Justice
Justice is the Belgian federal ministerial portfolio responsible for the judicial system, courts, prosecution services, and the administration of criminal and civil law.
-
D.
Justice
Justice is a 1910 stage play by John Galsworthy that critiques the English legal and prison systems through the tragic story of a young clerk driven to crime.
-
E.
Justice
Justice is a French electronic music duo known for their heavy, distorted sound and influential role in the 2000s electro house and nu-disco scenes.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50aa3d008190836d0fde840da7d2 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f4229c988190be23ccfae8b350ec |
completed | April 4, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69d0f4bf7da08190bc8a41090f2c0f1d |
completed | April 4, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f67de15081908c0ab98bc143fd7d |
completed | April 4, 2026, 11:31 a.m. |
Created at: March 30, 2026, 7:43 p.m.