Triple
T5144389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acid Eaters |
E116035
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Somebody to Love |
E403531
|
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: Somebody to Love | Statement: [Acid Eaters, hasTrack, Somebody to Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somebody to Love Context triple: [Acid Eaters, hasTrack, Somebody to Love]
-
A.
Somebody to Love
chosen
"Somebody to Love" is a 1976 gospel-influenced rock song by the British band Queen, showcasing Freddie Mercury's powerful vocals and complex multi-tracked harmonies.
-
B.
Somebody to Love
"Somebody to Love" is a 2010 pop and R&B single by Justin Bieber, known for its upbeat dance production and popular remix featuring Usher.
-
C.
To Love Somebody
"To Love Somebody" is a classic 1967 soul ballad by the Bee Gees that has become one of their most enduring and frequently covered songs.
-
D.
Song for Someone
"Song for Someone" is a reflective, melodic rock ballad by U2 from their 2014 album *Songs of Innocence*, noted for its intimate lyrics and atmospheric sound.
-
E.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78aaeb1881909e1b416ea37a7b6d |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becff0df5881909d247dd3db49f6c2 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.