Triple
T19645494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamonds & Rust |
E471660
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Hello In There |
—
|
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: Hello In There | Statement: [Diamonds & Rust, includesSong, Hello In There]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hello In There Context triple: [Diamonds & Rust, includesSong, Hello In There]
-
A.
Hello in There
chosen
"Hello in There" is a poignant folk ballad by John Prine, best known through Bette Midler’s emotive cover, that reflects on aging and loneliness.
-
B.
Hey There
"Hey There" is a popular song from the 1954 musical *The Pajama Game*, widely known through Rosemary Clooney's hit recording.
-
C.
Here and There
"Here and There" is a short story by David Foster Wallace, included in his collection *Girl with Curious Hair*, that explores themes of communication, perception, and emotional distance.
-
D.
We in Here
"We in Here" is a hip-hop track featured on the album "Year of the Dog... Again" by DMX.
-
E.
Come Here
"Come Here" is a track by rapper Talib Kweli from his album "Prisoner of Conscious," showcasing his socially conscious lyricism over a polished, melodic production.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641250e108190a707452fefc87041 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.