Triple
T24587386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Fittler |
E608433
|
entity |
| Predicate | representativeLevel |
P156457
|
FINISHED |
| Object | State of Origin |
—
|
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: State of Origin | Statement: [Brad Fittler, representativeLevel, State of Origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representativeLevel Context triple: [Brad Fittler, representativeLevel, State of Origin]
-
A.
federalRepresentationLevel
Indicates the degree or tier at which an entity is represented within a federal governmental structure or system.
-
B.
leadershipRoleAtRepresentativeLevel
Indicates that an entity holds a leadership position at a representative or delegate level within an organization or governing body.
-
C.
countyRepresented
Indicates that a person or representative serves as the official representative for a particular county in a governing or organizational context.
-
D.
representativeDetermined
Indicates that an official representative has been identified and designated for a particular entity or context.
-
E.
representedLevel
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a988393c81909f0292e9b35441d2 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.