Triple
T1177705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moses Taylor |
E25065
|
entity |
| Predicate | typeOfWealth |
P9503
|
FINISHED |
| Object | finance-based fortune |
—
|
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: finance-based fortune | Statement: [Moses Taylor, typeOfWealth, finance-based fortune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWealth Context triple: [Moses Taylor, typeOfWealth, finance-based fortune]
-
A.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
B.
economicStatus
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
C.
netWorthStatus
Indicates the financial standing or wealth level of an entity relative to defined net worth categories or thresholds.
-
D.
viewOnWealth
Indicates a person’s attitude, belief, or perspective regarding wealth and its importance or use.
-
E.
richIn
Indicates that something contains a high amount or concentration of a particular substance, quality, or resource.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5844348190b01ac6506906ba3b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.