Triple
T14045649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceremonials |
E337948
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Never Let Me Go |
E337939
|
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: Never Let Me Go | Statement: [Ceremonials, single, Never Let Me Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Never Let Me Go Context triple: [Ceremonials, single, Never Let Me Go]
-
A.
Never Let Me Go
chosen
"Never Let Me Go" is a dramatic, atmospheric pop ballad by Florence and the Machine known for its haunting vocals and themes of surrender and emotional turmoil.
-
B.
Never Let Me Go
"Never Let Me Go" is a dance-pop song by Brazilian DJ and producer Bruno Martini, known for its melodic hooks and electronic production.
-
C.
Never Let Me Go
Never Let Me Go is a song by the South Korean girl group Spectrum, released prior to their track "Say My Name."
-
D.
Never Let Me Go (screenplay)
Never Let Me Go (screenplay) is a 2010 film script by Alex Garland adapting Kazuo Ishiguro’s dystopian novel about cloned children raised for organ donation.
-
E.
The Goldfinch
The Goldfinch is a famous 1654 trompe-l'œil painting by Dutch Golden Age artist Carel Fabritius, depicting a life-sized goldfinch chained to its perch.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65c1a90819097754497f07f5312 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.