Triple
T18646501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Who Sell Out |
E455815
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Can See for Miles |
—
|
NE NERFINISHED |
How this triple was built (2 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: I Can See for Miles | Statement: [The Who Sell Out, hasPart, I Can See for Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Can See for Miles Context triple: [The Who Sell Out, hasPart, I Can See for Miles]
-
A.
“I Can See for Miles”
chosen
“I Can See for Miles” is a 1967 rock song by The Who, noted for its powerful sound and considered one of the band’s most iconic tracks.
-
B.
Miles Away
"Miles Away" is a pop ballad by Madonna from her 2008 album "Hard Candy," noted for its themes of emotional distance in relationships.
-
C.
I Can Almost See It
"I Can Almost See It" is a song featured on Linda Ronstadt’s 1973 country-rock album "Don't Cry Now."
-
D.
I Can See You
"I Can See You" is a song by the American metalcore band The Devil Wears Prada from their album *The Eye of Every Storm*.
-
E.
Million Miles
"Million Miles" is a blues-influenced outtake from Bob Dylan’s 1997 sessions later released on his compilation album "The Bootleg Series Vol. 8: Tell Tale Signs."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500e248481909a8d777a6a9f17e7 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.