Triple
T23100583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothika |
E576010
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Behind Blue Eyes |
—
|
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: Behind Blue Eyes | Statement: [Gothika, featuresSong, Behind Blue Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behind Blue Eyes Context triple: [Gothika, featuresSong, Behind Blue Eyes]
-
A.
Behind Blue Eyes
chosen
"Behind Blue Eyes" is a reflective rock ballad by the English band The Who, known for its introspective lyrics and dynamic shift from a quiet, mournful opening to a powerful, guitar-driven climax.
-
B.
Pretty Blue Eyes
"Pretty Blue Eyes" is a popular 1959 pop song recorded by American singer Steve Lawrence that became one of his signature hits.
-
C.
Almost Blue
"Almost Blue" is a melancholic jazz ballad famously performed by Chet Baker, known for its haunting melody and emotional depth.
-
D.
Am I Blue
"Am I Blue" is a classic pop and jazz standard that has been widely covered by vocalists, including Bette Midler on her album *The Divine Miss M*."
-
E.
Sadder Than Blue
"Sadder Than Blue" is an R&B song by the American vocal group Az Yet, known for its smooth harmonies and emotive, soulful style.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.