Triple
T19908095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold |
E478471
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Answering Bell |
—
|
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: Answering Bell | Statement: [Gold, notableSingle, Answering Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Answering Bell Context triple: [Gold, notableSingle, Answering Bell]
-
A.
Answering Bell
chosen
"Answering Bell" is a song by American singer-songwriter Ryan Adams from his 2001 album *Gold*, known for its melodic alt-country style and reflective lyrics.
-
B.
Service Bell
"Service Bell" is a song by the experimental rock band Horn of Plenty.
-
C.
Intercom
Intercom is a customer messaging and support platform that helps businesses communicate with users through in-app messages, email, chat, and more.
-
D.
Baby Bells
The Baby Bells were regional telephone companies created from the 1984 breakup of AT&T’s Bell System, which took over local phone service in different parts of the United States.
-
E.
Bell
Bell is a major Canadian telecommunications company providing phone, internet, television, and wireless services nationwide.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6598d91ac8190be6abdd7d1542aec |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:52 p.m.