Triple
T26870513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairfield Greenwich Group |
E676597
|
entity |
| Predicate | consequenceOfMadoffCase |
P142134
|
FINISHED |
| Object | massive investor redemptions and losses |
—
|
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: massive investor redemptions and losses | Statement: [Fairfield Greenwich Group, consequenceOfMadoffCase, massive investor redemptions and losses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfMadoffCase Context triple: [Fairfield Greenwich Group, consequenceOfMadoffCase, massive investor redemptions and losses]
-
A.
consequenceOfCollapse
Indicates that one event, state, or condition occurs as a direct result of a collapse.
-
B.
consequenceOfRevocation
Indicates that something occurs as a direct result of a prior revocation event or decision.
-
C.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
D.
consequenceOfCertification
Indicates that something occurs as a result of, or is caused by, a particular certification.
-
E.
effectOfScandal
chosen
Indicates the consequences or impact that a particular scandal has on a person, organization, event, or situation.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 5:32 a.m.