Triple
T150109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Nobel |
E3411
|
entity |
| Predicate | netWorthAtDeath |
P6079
|
FINISHED |
| Object | significant industrial 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: significant industrial fortune | Statement: [Alfred Nobel, netWorthAtDeath, significant industrial fortune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: netWorthAtDeath Context triple: [Alfred Nobel, netWorthAtDeath, significant industrial fortune]
-
A.
netWorthStatus
Indicates the financial standing or wealth level of an entity relative to defined net worth categories or thresholds.
-
B.
dateOfDeath
Indicates the specific date on which an individual or entity died.
-
C.
notableAsset
Indicates that an entity possesses or is associated with an asset that is particularly significant, prominent, or noteworthy in relation to it.
-
D.
endowment
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
E.
canBeAwardedPosthumously
Indicates that something (such as an honor, title, or award) is eligible to be granted to a person after their death.
- F. None of above. chosen
Provenance (4 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580dda148190a522e0ac276d5f33 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a256599db08190a7b000b381d32ec4 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25737f9188190b9690dce98aed83a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.