Triple
T5332088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxima Chan Zuckerberg |
E123332
|
entity |
| Predicate | parentOccupationOfFather |
P2600
|
FINISHED |
| Object | technology entrepreneur |
—
|
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: technology entrepreneur | Statement: [Maxima Chan Zuckerberg, parentOccupationOfFather, technology entrepreneur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOccupationOfFather Context triple: [Maxima Chan Zuckerberg, parentOccupationOfFather, technology entrepreneur]
-
A.
fatherOccupation
chosen
Indicates the type of job or profession held by a person's father.
-
B.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
C.
motherOccupation
Indicates the type of job or profession that a person's mother has.
-
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.
sonOccupation
Indicates that a specified occupation is the job or professional role held by a person's son.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85aab0308190990626cbc9da3e21 |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.