Triple
T32776652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson S. Bissell |
E838225
|
entity |
| Predicate | sharesEmployerWith |
P184577
|
FINISHED |
| Object | Grover Cleveland |
—
|
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: Grover Cleveland | Statement: [Wilson S. Bissell, sharesEmployerWith, Grover Cleveland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesEmployerWith Context triple: [Wilson S. Bissell, sharesEmployerWith, Grover Cleveland]
-
A.
sharesWorkplaceWith
chosen
Indicates that two entities work at the same workplace or organization.
-
B.
sharesWorkWith
Indicates that one entity collaborates or participates jointly in work or tasks with another entity.
-
C.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
-
D.
sharesProfessionWith
Indicates that two entities have the same profession or occupational role.
-
E.
sharesLaborMarketWith
Indicates that two entities operate within the same or substantially overlapping labor market, drawing from and competing for a similar pool of workers.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: May 1, 2026, 1:13 a.m.