Triple
T15370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Zuckerberg |
E306
|
entity |
| Predicate | netWorthRanking |
P199
|
FINISHED |
| Object | one of the wealthiest people in the world |
—
|
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: one of the wealthiest people in the world | Statement: [Mark Zuckerberg, netWorthRanking, one of the wealthiest people in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: netWorthRanking Context triple: [Mark Zuckerberg, netWorthRanking, one of the wealthiest people in the world]
-
A.
netWorthStatus
chosen
Indicates the financial standing or wealth level of an entity relative to defined net worth categories or thresholds.
-
B.
funds
Indicates that one entity provides financial resources or monetary support to another entity or activity.
-
C.
hasFinancialInstitution
Indicates that one entity is associated with or linked to a financial institution, such as a bank or similar financial service provider.
-
D.
medianHouseholdIncomeRank
Indicates the relative position of a household’s income compared to others, typically ordered from lowest to highest median income.
-
E.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a240b249788190af8dbf7e80e9c91b |
completed | Feb. 28, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69a23feae8c481908d8c50faac01fc5c |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.