Triple
T24296440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Albright |
E605969
|
entity |
| Predicate | worksAtSameDepartmentAs |
P111894
|
FINISHED |
| Object | Dick Solomon |
—
|
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: Dick Solomon | Statement: [Mary Albright, worksAtSameDepartmentAs, Dick Solomon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksAtSameDepartmentAs Context triple: [Mary Albright, worksAtSameDepartmentAs, Dick Solomon]
-
A.
worksInDepartment
Indicates that an entity is employed in and performs their job duties within a particular department.
-
B.
basedInDepartment
Indicates that an entity operates or has its primary affiliation within a specific department.
-
C.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
D.
sharesBorderWithDepartment
Indicates that one administrative department directly borders or touches the territorial boundary of another department.
-
E.
commonDepartments
chosen
Indicates that two or more entities share one or more of the same departments in common.
- F. None of above.
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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915a00f08190a93a009ada096b69 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.