Triple
T17881344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rain (album) |
E447090
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Other Me |
E795241
|
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: The Other Me | Statement: [Rain (album), hasPart, The Other Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Other Me Context triple: [Rain (album), hasPart, The Other Me]
-
A.
The Other Me
chosen
"The Other Me" is a melodic pop song by Paul McCartney from his 1983 album "Pipes of Peace."
-
B.
Some Other Me
"Some Other Me" is a song by the American rock band If/Then, known for its introspective lyrics and alternative rock sound.
-
C.
The Other Side of Me
The Other Side of Me is Sidney Sheldon's autobiographical memoir recounting his life, struggles, and rise to fame as a novelist and screenwriter.
-
D.
Another Me
Another Me is a psychological thriller film about a teenage girl haunted by a mysterious doppelgänger that blurs the line between reality and paranoia.
-
E.
I Am Other
I Am Other is a creative collective and record label founded by Pharrell Williams that encompasses music, fashion, and multimedia projects.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0f40fc8190b2e615b41829f5df |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313d3dba88190a5dd60d1d4ac63f0 |
completed | May 12, 2026, 11:49 a.m. |
Created at: April 10, 2026, 10:18 a.m.