Triple
T406239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Benioff |
E9389
|
entity |
| Predicate | hasNetWorthStatus |
P199
|
FINISHED |
| Object | billionaire |
—
|
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: billionaire | Statement: [Marc Benioff, hasNetWorthStatus, billionaire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetWorthStatus Context triple: [Marc Benioff, hasNetWorthStatus, billionaire]
-
A.
netWorthStatus
chosen
Indicates the financial standing or wealth level of an entity relative to defined net worth categories or thresholds.
-
B.
hasWealthSource
Indicates that an entity derives its wealth or financial resources from a specified source.
-
C.
netWorthAtDeath
Indicates the total value of a person’s assets minus liabilities at the time of their death.
-
D.
eligibleBorrower
Indicates that an entity meets the required conditions to be allowed to borrow (e.g., money, items, or resources) under a given set of rules or policies.
-
E.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbc00508190bbb602179273f29c |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e971a3a481909e6b075f25dd234a |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.