Triple
T3477055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surf |
E73398
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
SmthnthtIwnt
SmthnthtIwnt is a track by the artist Surf, likely within the hip-hop or rap genre.
|
E361486
|
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: SmthnthtIwnt | Statement: [Surf, hasTrack, SmthnthtIwnt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SmthnthtIwnt Context triple: [Surf, hasTrack, SmthnthtIwnt]
-
A.
The Concert
The Concert is an unfinished and now missing painting by Dutch Golden Age master Johannes Vermeer, depicting an intimate scene of three figures making music in a domestic interior.
-
B.
Somewhere
"Somewhere" is a poignant ballad from the musical West Side Story that expresses a longing for a peaceful place where love can transcend conflict and prejudice.
-
C.
The Moment
The Moment is a popular smooth jazz album by saxophonist Kenny G, known for its melodic, easy-listening instrumental tracks.
-
D.
And Still
"And Still" is a reflective, emotionally charged song by English musician Peter Gabriel, known for its atmospheric production and introspective lyrics.
-
E.
Song to Song
Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
- 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: SmthnthtIwnt Triple: [Surf, hasTrack, SmthnthtIwnt]
Generated description
SmthnthtIwnt is a track by the artist Surf, likely within the hip-hop or rap genre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SmthnthtIwnt Target entity description: SmthnthtIwnt is a track by the artist Surf, likely within the hip-hop or rap genre.
-
A.
The Concert
The Concert is an unfinished and now missing painting by Dutch Golden Age master Johannes Vermeer, depicting an intimate scene of three figures making music in a domestic interior.
-
B.
Somewhere
"Somewhere" is a poignant ballad from the musical West Side Story that expresses a longing for a peaceful place where love can transcend conflict and prejudice.
-
C.
The Moment
The Moment is a popular smooth jazz album by saxophonist Kenny G, known for its melodic, easy-listening instrumental tracks.
-
D.
And Still
"And Still" is a reflective, emotionally charged song by English musician Peter Gabriel, known for its atmospheric production and introspective lyrics.
-
E.
Song to Song
Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5a5cb88190be5624ae224e4c91 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681822488190a9876a21236f9aa3 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b368b4e504819094ca0adbdbe7bfd9 |
completed | March 13, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3693a8d6481909dadce4ac6109ff3 |
completed | March 13, 2026, 1:32 a.m. |
Created at: March 8, 2026, 3:17 p.m.