Triple
T2675508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reggie Brown |
E56448
|
entity |
| Predicate | settlementAmountApproximate |
P482
|
FINISHED |
| Object | over 100 million US dollars |
—
|
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: over 100 million US dollars | Statement: [Reggie Brown, settlementAmountApproximate, over 100 million US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settlementAmountApproximate Context triple: [Reggie Brown, settlementAmountApproximate, over 100 million US dollars]
-
A.
approximateNumberAwarded
Indicates the estimated quantity of awards or recognitions given in a particular context or event.
-
B.
settlementWith
Indicates a relationship where one party reaches or maintains a settlement or agreement with another party, typically resolving a dispute or claim.
-
C.
possibleSettlementAt
Indicates that a settlement could potentially be established or located at a given place or site.
-
D.
monetaryValue
chosen
Indicates the amount of money associated with an entity, event, or transaction.
-
E.
settlementMode
Indicates the method or process by which a financial or transactional obligation is settled or completed between parties.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b3530c819093942cc985f814ef |
completed | March 7, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.