Triple
T4887997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Ford |
E109485
|
entity |
| Predicate | hasWealthOrigin |
P9503
|
FINISHED |
| Object | Ford Motor Company 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: Ford Motor Company fortune | Statement: [Charlotte Ford, hasWealthOrigin, Ford Motor Company fortune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWealthOrigin Context triple: [Charlotte Ford, hasWealthOrigin, Ford Motor Company fortune]
-
A.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
B.
hasWealthType
Indicates that an entity possesses or is associated with a particular category or type of wealth.
-
C.
hasTrustFund
Indicates that an entity possesses or benefits from a trust fund established to hold and manage assets for them.
-
D.
hasOriginalEndowmentPurpose
Indicates that an entity’s original endowment is intended or designated to serve a specific purpose or function.
-
E.
inheritsWealth
Indicates that one entity receives wealth or assets passed down from another, typically after the latter’s death.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.