Triple
T23559510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Birkenhead |
E579194
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Working |
—
|
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: Working | Statement: [Susan Birkenhead, notableWork, Working]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Working Context triple: [Susan Birkenhead, notableWork, Working]
-
A.
Working
chosen
"Working" is a musical by Stephen Schwartz that adapts Studs Terkel’s book of interviews into a series of vignettes exploring the lives and aspirations of everyday American workers.
-
B.
Worky
Worky is the commonly used nickname for Workington Town Rugby League Football Club, a professional rugby league team based in Workington, Cumbria, England.
-
C.
Work
Work is an abstract intellectual or artistic creation that exists independently of any particular physical or digital manifestation.
-
D.
Work Time
Work Time is a 1956 jazz album by tenor saxophonist Sonny Rollins, noted for its hard bop style and influential improvisations.
-
E.
Work Sauce
Work Sauce is a segment or component of the podcast "Asking For A Friend," likely focused on career, workplace, or professional life topics.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af672db4819087dbff2c0dfadd7f |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:12 p.m.