Triple
T16732316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SWB |
E406620
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Baby Bells |
E406617
|
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: Baby Bells | Statement: [SWB, partOf, Baby Bells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Bells Context triple: [SWB, partOf, Baby Bells]
-
A.
Baby Bells
chosen
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.
-
B.
Bless the Telephone
"Bless the Telephone" is a song by English singer-songwriter Labi Siffre, known for its gentle, intimate reflection on love and connection.
-
C.
The Telephone
The Telephone is a one-act comic opera by Gian Carlo Menotti that humorously explores how constant telephone interruptions disrupt personal relationships.
-
D.
Bells
"Bells" is a song performed live by Justin Timberlake as part of his The 20/20 Experience World Tour setlist.
-
E.
Bells
Bells is a small city in Grayson County, Texas, known for its rural character and location near the Sherman–Denison metropolitan area.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4a94688190aabe56c34e8cc2c3 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.