Triple
T22206103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy in London |
E548809
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | As Tears Go By |
—
|
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: As Tears Go By | Statement: [Nancy in London, hasTrack, As Tears Go By]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: As Tears Go By Context triple: [Nancy in London, hasTrack, As Tears Go By]
-
A.
As Tears Go By
chosen
"As Tears Go By" is a melancholic 1960s pop ballad associated with The Rolling Stones, known for its orchestral arrangement and reflective lyrics about lost youth.
-
B.
As Tears Go By
As Tears Go By is a 1988 Hong Kong crime drama film and the directorial debut of Wong Kar-wai, following a small-time gangster’s turbulent relationships and descent into violence.
-
C.
Chain of Tears
"Chain of Tears" is a song from Jenny Lewis's 2023 indie rock/folk album *Joy’All*, showcasing her reflective songwriting and melodic style.
-
D.
So Many Tears
"So Many Tears" is an R&B/soul song by American singer Regina Belle, showcasing her smooth vocals and emotive, romantic style.
-
E.
So Many Tears
"So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2868d88190af313b862fe9d8f2 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.