Triple
T20994464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russ |
E517109
|
entity |
| Predicate | sellsPropertyTo |
P25920
|
FINISHED |
| Object | Black family |
—
|
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: Black family | Statement: [Russ, sellsPropertyTo, Black family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sellsPropertyTo Context triple: [Russ, sellsPropertyTo, Black family]
-
A.
soldPropertyFor
Indicates that one entity transferred ownership of a property to another entity in exchange for a specified amount of money or value.
-
B.
soldProperty
chosen
Indicates that one entity transferred ownership of a property to another entity in exchange for payment.
-
C.
soldLandFor
Indicates that one party transferred ownership of land to another party in exchange for payment or other agreed compensation.
-
D.
saleTo
Indicates a transaction in which one party sells goods, services, or assets to another party.
-
E.
sellsInformationTo
Indicates that one entity provides information to another entity in exchange for payment or other compensation.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1e75188190a97114238ea0b4f9 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:50 p.m.