Triple
T36102341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alison McCord |
E1044246
|
entity |
| Predicate | motherOccupationInStory |
P3773
|
FINISHED |
| Object | United States Secretary of State |
—
|
NE NERFINISHED |
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: United States Secretary of State | Statement: [Alison McCord, motherOccupationInStory, United States Secretary of State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motherOccupationInStory Context triple: [Alison McCord, motherOccupationInStory, United States Secretary of State]
-
A.
motherOccupation
chosen
Indicates the type of job or profession that a person's mother has.
-
B.
motherInStory
Indicates that one entity is the mother of another entity within the context of a particular story or narrative.
-
C.
householdRoleOfMother
Indicates the specific role or function that a mother holds within the household context.
-
D.
maternalGrandmotherOccupation
Indicates the type of job or profession held by a person’s maternal grandmother.
-
E.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
- 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_69f76e338e2c8190b7f3bc68bec76349 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.