Triple
T20309484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra Pullman |
E510197
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pullman |
—
|
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: Pullman | Statement: [Sandra Pullman, familyName, Pullman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pullman Context triple: [Sandra Pullman, familyName, Pullman]
-
A.
Pullman
chosen
Pullman is a surname most notably associated with American actor Bill Pullman, known for his roles in films such as "Independence Day" and "While You Were Sleeping."
-
B.
Pullman
Pullman is a small college town in southeastern Washington State best known as the home of Washington State University.
-
C.
Pullman
Pullman is a historic Chicago neighborhood known for its 19th-century planned industrial community and distinctive brick row houses built for workers of the Pullman Palace Car Company.
-
D.
West Pullman
West Pullman is a residential neighborhood on Chicago’s far South Side known for its industrial history, diverse working-class community, and ongoing revitalization efforts.
-
E.
Pullman Works
Pullman Works was a major railcar manufacturing and repair facility historically associated with the Pullman Company in Chicago, Illinois.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6774286a88190800d6b062f3d7a9f |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.