Triple
T955705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Wayne |
E20621
|
entity |
| Predicate | laterReceived |
P9563
|
FINISHED |
| Object | $1,500 for a final release of claims against Apple |
—
|
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: $1,500 for a final release of claims against Apple | Statement: [Ronald Wayne, laterReceived, $1,500 for a final release of claims against Apple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterReceived Context triple: [Ronald Wayne, laterReceived, $1,500 for a final release of claims against Apple]
-
A.
laterSought
Indicates that one entity attempted to obtain, pursue, or request another entity at a subsequent time relative to some prior reference point.
-
B.
laterReception
chosen
Indicates that one entity receives or accepts something at a time that is later than when another related reception or event occurs.
-
C.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
D.
laterDeployedIn
Indicates that one entity was deployed or put into operation in a particular context, location, or system at a later time than another.
-
E.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f7a7608190b8a8dd2486654bec |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a18ecc8190883f6206fe3b0fb6 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.