Triple
T10837087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaori Mai Hart |
E255787
|
entity |
| Predicate | parentalProfession |
P2600
|
FINISHED |
| Object | daughter of an American comedian and 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: daughter of an American comedian and actor | Statement: [Kaori Mai Hart, parentalProfession, daughter of an American comedian and actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentalProfession Context triple: [Kaori Mai Hart, parentalProfession, daughter of an American comedian and actor]
-
A.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
B.
siblingOccupation
Indicates that one person has a sibling whose job or profession is the specified occupation.
-
C.
motherOccupation
Indicates the type of job or profession that a person's mother has.
-
D.
knownRelativesOccupation
Indicates that there is information about the occupations held by one or more relatives of a given person.
-
E.
fatherOccupation
chosen
Indicates the type of job or profession held by a person's father.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.