Triple
T5255303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blondie |
E118682
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Call Me |
E483442
|
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: Call Me | Statement: [Blondie, notableWork, Call Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Call Me Context triple: [Blondie, notableWork, Call Me]
-
A.
Call Me
chosen
"Call Me" is a 1973 soul album by Al Green, widely regarded as one of his finest works and a classic of the genre.
-
B.
Call My Name
"Call My Name" is a pop song by Welsh singer Charlotte Church, released as a single from her 2005 album "Tissues and Issues."
-
C.
Give Me a Call
"Give Me a Call" is a song from John Legend's 2008 R&B/soul album "Evolver."
-
D.
Call Me Anything
"Call Me Anything" is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
-
E.
Where I'm Calling From
"Where I'm Calling From" is a celebrated short story collection by Raymond Carver that showcases his minimalist style and focus on the lives of working-class Americans.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba2f5d08190850529659901ae0f |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe7a1f448190acfcdfe37c962028 |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:50 p.m.