Triple
T10592538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acid Queen |
E250026
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I Can See for Miles |
E729529
|
NE FINISHED |
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: [Acid Queen, hasTrack, 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: [Acid Queen, hasTrack, 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.
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."
-
C.
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."
-
D.
The Way I See It
"The Way I See It" is a memoir by Patti Davis reflecting on her life as Ronald Reagan’s daughter and her complex family relationships.
-
E.
The Way I See It
The Way I See It is a retro-soul studio album by American musician Raphael Saadiq that pays homage to classic Motown and 1960s R&B sounds.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277da8048190add007ca0c37253e |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e85c49c8190a580536be07c0405 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 6, 2026, 12:40 p.m.