Triple
T24118380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Fallin |
E597581
|
entity |
| Predicate | hasProfessionalConflictWith |
P154919
|
FINISHED |
| Object | Burton Fallin |
—
|
NE NERFINISHED |
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: Burton Fallin | Statement: [Nicholas Fallin, hasProfessionalConflictWith, Burton Fallin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalConflictWith Context triple: [Nicholas Fallin, hasProfessionalConflictWith, Burton Fallin]
-
A.
hasEthicalConflictWith
Indicates a relationship where two entities are in opposition or tension due to differing ethical principles, values, or standards.
-
B.
conflictOfInterest
Indicates a situation where an entity’s personal, financial, or other interests could improperly influence, or appear to influence, its decisions or actions regarding another entity or matter.
-
C.
hasNotableConflict
Indicates a significant, recognized dispute, clash, or opposition existing between the related entities.
-
D.
hasConflictOfInterestDebate
Indicates that there is a debate or dispute over whether a conflict of interest exists between the involved entities.
-
E.
notableConflictWith
Indicates a significant, recognized conflict or dispute that exists or has existed between the related entities.
- 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_69e288c74200819098ab875b592cb39f |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dee091c48190a55d36f28c332749 |
completed | April 29, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:05 p.m.