Triple
T6057443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadia Zulficar |
E134948
|
entity |
| Predicate | parentOccupation_mother |
P5386
|
FINISHED |
| Object | actress |
—
|
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: actress | Statement: [Nadia Zulficar, parentOccupation_mother, actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOccupation_mother Context triple: [Nadia Zulficar, parentOccupation_mother, actress]
-
A.
motherOccupation
Indicates the type of job or profession that a person's mother has.
-
B.
parentOccupation
chosen
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
C.
fatherOccupation
Indicates the type of job or profession held by a person's father.
-
D.
parentWorkTitle
Indicates that the value is the title of a larger or original work of which the current item is a part, adaptation, or derivative.
-
E.
motherStatus
Indicates the current condition, role, or state of an entity in relation to being a mother (e.g., whether and how they are functioning or recognized as a mother).
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570d00e88190b2d8d596e40378d9 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.