Triple
T7788847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Appleton Longfellow |
E187318
|
entity |
| Predicate | householdWealthSource |
P9503
|
FINISHED |
| Object | Appleton family mercantile 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: Appleton family mercantile fortune | Statement: [Frances Appleton Longfellow, householdWealthSource, Appleton family mercantile fortune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: householdWealthSource Context triple: [Frances Appleton Longfellow, householdWealthSource, Appleton family mercantile fortune]
-
A.
wealthSource
Indicates the relationship by which an entity obtains or derives its wealth from a particular source.
-
B.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
C.
economicStatus
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
D.
medianHouseholdIncome
Indicates the typical (middle) value of income earned by households in a given area, such that half of households earn more and half earn less.
-
E.
incomeMeasure
Indicates a relationship where one entity serves as a measure or metric of another entity’s income.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e8a0d08190b6d4ca560681eb35 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:25 p.m.