Triple
T16702292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacKenzie Scott |
E405881
|
entity |
| Predicate | netWorthRank |
P25601
|
FINISHED |
| Object | one of the wealthiest women 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 women in the world | Statement: [MacKenzie Scott, netWorthRank, one of the wealthiest women in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: netWorthRank Context triple: [MacKenzie Scott, netWorthRank, one of the wealthiest women in the world]
-
A.
wealthRanking
chosen
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
B.
netWorthStatus
Indicates the financial standing or wealth level of an entity relative to defined net worth categories or thresholds.
-
C.
adjustedWealthRanking
Indicates a comparative ordering of entities based on their wealth after applying specified adjustments or normalization factors.
-
D.
rankAmongWorldCurrencies
Indicates the relative position or standing of a currency compared to all other currencies in the world, typically based on a specific metric such as value, usage, or market size.
-
E.
coalRank
Indicates the classification of coal based on its degree of metamorphism, quality, and carbon content.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383326d7081909ef4c3b724876513 |
completed | April 18, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.