Triple
T19536767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Rose Gilman |
E488786
|
entity |
| Predicate | marriedName |
P18
|
FINISHED |
| Object | Gilman |
—
|
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: Gilman | Statement: [Lady Rose Gilman, marriedName, Gilman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilman Context triple: [Lady Rose Gilman, marriedName, Gilman]
-
A.
Gilman
chosen
Gilman is a surname most notably associated with Daniel Coit Gilman, a pioneering American educator and first president of Johns Hopkins University.
-
B.
Gillman
Gillman is an industrial and port-side suburb in Adelaide, South Australia, known for its transport infrastructure and proximity to major shipping facilities.
-
C.
Rinehart
Rinehart is a small unincorporated community located in the U.S. state of Missouri.
-
D.
McClurg
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
-
E.
Pennypacker
Pennypacker is a residential planned community section within Willingboro Township, New Jersey, characterized by its suburban layout and neighborhood design.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386f0fac819081bbc29172c8965e |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.