Triple
T34381664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patsy Beck |
E882453
|
entity |
| Predicate | spouseFatherInLawOccupation |
P195831
|
FINISHED |
| Object | silent film actor |
—
|
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: silent film actor | Statement: [Patsy Beck, spouseFatherInLawOccupation, silent film actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseFatherInLawOccupation Context triple: [Patsy Beck, spouseFatherInLawOccupation, silent film actor]
-
A.
spouseOccupation
Indicates that one person’s spouse has a particular job, profession, or occupation.
-
B.
exSpouseOccupation
Indicates that a person’s former spouse had or has a particular occupation or job role.
-
C.
spouseFather
Indicates that one entity is the father of another entity’s spouse.
-
D.
spouseFatherMemberOf
Indicates that the father of a person’s spouse is a member of a specified group, organization, or entity.
-
E.
fatherOccupation
Indicates the type of job or profession held by a person's father.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
| PDg | Predicate description generation | batch_69fde9fb68388190ada4a7018e2a2f76 |
completed | May 8, 2026, 1:49 p.m. |
Created at: May 1, 2026, 1:59 a.m.