Triple
T10858149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmeline Pankhurst statue |
E256321
|
entity |
| Predicate | memorialSubjectGender |
P55770
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [Emmeline Pankhurst statue, memorialSubjectGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorialSubjectGender Context triple: [Emmeline Pankhurst statue, memorialSubjectGender, female]
-
A.
memorialRole
Indicates that an entity holds a specific role, capacity, or function in relation to a memorial or commemorative context.
-
B.
memorialName
Indicates that a memorial is known by or designated with a particular name.
-
C.
genderOfEponym
chosen
Indicates the gender of the person after whom something (such as a place, object, or concept) is named.
-
D.
isCommemorationSubject
Indicates that an entity serves as the focus or object of a commemorative act, event, or artifact.
-
E.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751377da88190a7244bb9d6b0c2ec |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.