Triple
T21327224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Landy |
E525789
|
entity |
| Predicate | conflictOfInterest |
P143734
|
FINISHED |
| Object | business manager for Brian Wilson |
—
|
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: business manager for Brian Wilson | Statement: [Eugene Landy, conflictOfInterest, business manager for Brian Wilson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictOfInterest Context triple: [Eugene Landy, conflictOfInterest, business manager for Brian Wilson]
-
A.
hasEthicalConflictWith
Indicates a relationship where two entities are in opposition or tension due to differing ethical principles, values, or standards.
-
B.
hasConflictOfInterestDebate
Indicates that there is a debate or dispute over whether a conflict of interest exists between the involved entities.
-
C.
reportedConflict
Indicates that one party has formally reported the existence of a conflict involving another party or situation.
-
D.
notableConflictWith
Indicates a significant, recognized conflict or dispute that exists or has existed between the related entities.
-
E.
associatedConflictImpact
Indicates a relationship where an entity is linked to a specific conflict and the effects or consequences that conflict has on it.
- F. None of above. chosen
Provenance (4 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4a796081908148ec9106362d3d |
completed | April 21, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:41 p.m.