Triple
T14635624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Woman |
E343598
|
entity |
| Predicate | socialRoleInWork |
P115135
|
FINISHED |
| Object | church congregant |
—
|
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: church congregant | Statement: [Old Woman, socialRoleInWork, church congregant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialRoleInWork Context triple: [Old Woman, socialRoleInWork, church congregant]
-
A.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
B.
workPosition
Indicates the specific job role or position that an entity holds within an organization or workplace.
-
C.
sectorEmploymentRole
Indicates the specific role or function an entity holds within a particular employment sector or industry.
-
D.
roleDuringOccupation
Indicates the specific role or position an entity held during a particular occupation or period of control.
-
E.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
- F. None of above. chosen
Provenance (4 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:26 a.m.