Triple
T32808621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Hutchinson |
E839083
|
entity |
| Predicate | hasNamePartOrder |
P28784
|
FINISHED |
| Object | given-name-first |
—
|
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: given-name-first | Statement: [Mary Hutchinson, hasNamePartOrder, given-name-first]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamePartOrder Context triple: [Mary Hutchinson, hasNamePartOrder, given-name-first]
-
A.
hasNameOrder
chosen
Indicates the specific sequence or arrangement in which the components of a name (e.g., given name, family name, titles) are ordered.
-
B.
hasGivenNames
Indicates that an entity possesses one or more personal (given) names assigned to it.
-
C.
hasGivenNameCombination
Indicates that an entity is associated with a specific combination or sequence of given (first) names.
-
D.
givenNamePortion
Indicates that one string represents a portion or segment of a person's given (first) name.
-
E.
hasInitialOnlySurname
Indicates that a person is represented by only the initial of their given name together with their full surname, rather than their complete given name.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: May 1, 2026, 1:15 a.m.