Triple
T20289912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester Alan Arthur II |
E509990
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Arthur family |
—
|
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: Arthur family | Statement: [Chester Alan Arthur II, partOf, Arthur family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur family Context triple: [Chester Alan Arthur II, partOf, Arthur family]
-
A.
Arthur family
chosen
The Arthur family is a notable American family lineage that includes figures such as William Lewis Herndon Arthur among its members.
-
B.
Henry family
The Henry family is a lineage whose surname is associated with the historic Henry House and its heritage.
-
C.
Hall family
The Hall family is a familial group or lineage to which Sylvia Hall belongs.
-
D.
Warwick family
The Warwick family is a familial lineage or household to which Mancel Warrick belongs.
-
E.
Rupert family
The Rupert family is a prominent South African business dynasty known for its extensive industrial and philanthropic activities, particularly in art and culture.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67694d50881909d59c1037295c1d0 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:11 a.m.