Triple
T23362546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Schur |
E593221
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Schur |
—
|
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: Schur | Statement: [Michael Schur, hasSurname, Schur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schur Context triple: [Michael Schur, hasSurname, Schur]
-
A.
Schur
chosen
Schur is a surname most prominently associated with Michael Schur, the American television writer and producer known for creating and co-creating acclaimed comedy series such as Parks and Recreation and The Good Place.
-
B.
Schützenberger
Schützenberger is a French surname most notably associated with several prominent scientists and mathematicians, including chemist Paul Schützenberger.
-
C.
Muirhead
Muirhead is a small village in the Angus council area of Scotland, known for its residential character and proximity to Dundee.
-
D.
Muirhead
Muirhead is a Scottish surname, historically associated with families from areas characterized by moorland or "muir" landscapes.
-
E.
Muirhead
Muirhead is a small village in North Lanarkshire, Scotland, situated near Glasgow and known primarily as a residential commuter community.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aa0ed88190b0198cbfd1bcc59b |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:30 p.m.