Triple
T11926370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Shippen Arnold |
E283791
|
entity |
| Predicate | hasMiddleNameFrom |
P49452
|
FINISHED |
| Object | Peggy Shippen family |
—
|
LITERAL FINISHED |
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: Peggy Shippen family | Statement: [Edward Shippen Arnold, hasMiddleNameFrom, Peggy Shippen family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMiddleNameFrom Context triple: [Edward Shippen Arnold, hasMiddleNameFrom, Peggy Shippen family]
-
A.
middleName
Indicates that one entity is the middle name of another entity.
-
B.
canBeMiddleName
Indicates that one entity is suitable or allowed to serve as the middle name of another entity.
-
C.
isCommonAsMiddleName
Indicates that a given name is frequently used as a middle name rather than as a first or last name.
-
D.
middleNameInitial
Indicates that one entity is the initial letter of the middle name of another entity.
-
E.
middleNameOrigin
chosen
Indicates the source or cultural/linguistic origin from which a person's middle name is derived.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e3ff308190851ce656286bc67e |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.