Triple
T8785837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i/o |
E209040
|
entity |
| Predicate | hasEdition |
P35
|
FINISHED |
| Object | i/o (Dark-Side Mix) |
E757470
|
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/o (Dark-Side Mix) | Statement: [i/o, hasEdition, i/o (Dark-Side Mix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: i/o (Dark-Side Mix) Context triple: [i/o, hasEdition, i/o (Dark-Side Mix)]
-
A.
i/o (Bright-Side Mix)
"i/o (Bright-Side Mix)" is a remixed version of Peter Gabriel’s song "i/o," featuring a brighter, more upbeat production style.
-
B.
i/o (In-Side Mix)
i/o (In-Side Mix) is a remix release by Peter Gabriel featuring an alternate, more immersive version of his song "Panopticom."
-
C.
i/o (song)
chosen
"i/o (song)" is a track by English musician Peter Gabriel, released as part of his long-awaited album "i/o" and noted for its reflective lyrics and rich, layered production.
-
D.
I2O
I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
-
E.
Io e te
"Io e te" is a studio album by Italian rock singer-songwriter Gianna Nannini, known for its emotive melodies and passionate vocal performances.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f758d348190804942d985f2337c |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f3eff908190909e6beb3df0e106 |
completed | April 3, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:42 p.m.