Triple
T35227407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahoi Ashtami |
E1017134
|
entity |
| Predicate | socialRoleFocus |
P101536
|
FINISHED |
| Object | mothers |
—
|
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: mothers | Statement: [Ahoi Ashtami, socialRoleFocus, mothers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialRoleFocus Context triple: [Ahoi Ashtami, socialRoleFocus, mothers]
-
A.
socialRoleEmphasis
chosen
Indicates an emphasis on or prioritization of a particular social role within a relationship or interaction.
-
B.
socialRoleIn
Indicates that one entity holds a particular social role, status, or position within the context or framework defined by another entity.
-
C.
socialRoleInWork
Indicates the role or position an entity holds within a work-related or professional social context.
-
D.
focusCityRole
Indicates that a city serves a particular primary role or function within a broader geographic or organizational context.
-
E.
profileRole
Indicates the specific role or function an entity holds within a given profile or contextual configuration.
- 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:02 p.m.