Triple
T13673723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Doe |
E327817
|
entity |
| Predicate | pluralUsage |
P912
|
FINISHED |
| Object | group of unidentified women |
—
|
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: group of unidentified women | Statement: [Jane Doe, pluralUsage, group of unidentified women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pluralUsage Context triple: [Jane Doe, pluralUsage, group of unidentified women]
-
A.
pluralMasculineForm
Indicates that the referenced term is expressed in its plural form specifically for masculine grammatical gender.
-
B.
usedTerm
Indicates that one entity employed, referenced, or applied a particular term in some context.
-
C.
hasPlurality
chosen
Indicates that an entity or concept exists or is expressed in a plural form rather than a singular one.
-
D.
usedInformallyAlongside
Indicates that something is employed in an informal, non-standard way together with or in addition to something else.
-
E.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.