Triple
T1513799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffry M. Picower |
E32072
|
entity |
| Predicate | notedBy |
P5301
|
FINISHED |
| Object | media as largest known beneficiary of Madoff scheme |
—
|
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: media as largest known beneficiary of Madoff scheme | Statement: [Jeffry M. Picower, notedBy, media as largest known beneficiary of Madoff scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notedBy Context triple: [Jeffry M. Picower, notedBy, media as largest known beneficiary of Madoff scheme]
-
A.
notRatifiedBy
Indicates that a proposed agreement, treaty, or decision has not received formal approval or confirmation from the specified entity.
-
B.
isNotedOn
Indicates that information about one entity is recorded, mentioned, or annotated on another entity (such as a document, record, or medium).
-
C.
notRecommendedBy
Indicates that one entity explicitly advises against or does not endorse another entity.
-
D.
notedIn
chosen
Indicates that information about one entity is mentioned, recorded, or referenced within another entity, such as a document, record, or source.
-
E.
notableAbsence
Indicates that something or someone is conspicuously missing from a context where their presence would normally be expected or significant.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.