Triple
T19544643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Ames |
E489008
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | "Who Will Answer?" |
—
|
NE NERFINISHED |
How this triple was built (3 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: "Who Will Answer?" | Statement: [Ed Ames, notableSong, "Who Will Answer?"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Who Will Answer?" Context triple: [Ed Ames, notableSong, "Who Will Answer?"]
-
A.
"The Answer"
"The Answer" is an episode of the animated series Steven Universe that explores Garnet’s origin by revealing the love story between Ruby and Sapphire.
-
B.
Give Me an Answer
"Give Me an Answer" is a melancholic, atmospheric indie track by Low Roar, known for its introspective lyrics and ethereal production.
-
C.
The Unanswered Question
The Unanswered Question is a seminal early 20th-century orchestral work by Charles Ives that juxtaposes serene strings with a solo trumpet posing an existential “question” against dissonant woodwind “answers.”
-
D.
Ask of You
"Ask of You" is a smooth R&B song by Raphael Saadiq, best known for its appearance on the "Higher Learning" soundtrack and its success on the mid-1990s R&B charts.
-
E.
The Burning Question
The Burning Question is a book by carbon footprint expert Mike Berners-Lee that explores the climate implications of burning the world’s remaining fossil fuel reserves and argues for urgent systemic change to limit global warming.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Who Will Answer?" Target entity description: "Who Will Answer?" is a 1967 pop song by Ed Ames known for its contemplative lyrics addressing social and existential questions of the era.
-
A.
"The Answer"
"The Answer" is an episode of the animated series Steven Universe that explores Garnet’s origin by revealing the love story between Ruby and Sapphire.
-
B.
Give Me an Answer
"Give Me an Answer" is a melancholic, atmospheric indie track by Low Roar, known for its introspective lyrics and ethereal production.
-
C.
The Unanswered Question
The Unanswered Question is a seminal early 20th-century orchestral work by Charles Ives that juxtaposes serene strings with a solo trumpet posing an existential “question” against dissonant woodwind “answers.”
-
D.
Ask of You
"Ask of You" is a smooth R&B song by Raphael Saadiq, best known for its appearance on the "Higher Learning" soundtrack and its success on the mid-1990s R&B charts.
-
E.
The Burning Question
The Burning Question is a book by carbon footprint expert Mike Berners-Lee that explores the climate implications of burning the world’s remaining fossil fuel reserves and argues for urgent systemic change to limit global warming.
- F. None of above. chosen
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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63875cf40819088db7c7969be1e3d |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.