Triple
T13745733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labi Siffre |
E330205
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bless The Telephone |
E702664
|
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: Bless The Telephone | Statement: [Labi Siffre, notableWork, Bless The Telephone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bless The Telephone Context triple: [Labi Siffre, notableWork, Bless The Telephone]
-
A.
Bless the Telephone
chosen
"Bless the Telephone" is a song by English singer-songwriter Labi Siffre, known for its gentle, intimate reflection on love and connection.
-
B.
Bless This Mess
Bless This Mess is an American sitcom about a newlywed couple who leave New York City to run a farm in rural Nebraska, created by Lake Bell and Elizabeth Meriwether.
-
C.
I Hear a Call
"I Hear a Call" is a country song recorded by Emmylou Harris for her 1993 album "Cowgirl's Prayer."
-
D.
So Blessed
"So Blessed" is a song featured on the album "Emotions."
-
E.
Give Me a Call
"Give Me a Call" is a song from John Legend's 2008 R&B/soul album "Evolver."
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a851f68c81908b24bc5275a58ad3 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.