Triple
T30176184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric T. Duckman |
E767063
|
entity |
| Predicate | hasCatchallTrait |
P128540
|
FINISHED |
| Object | frequently rants about society and culture |
—
|
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: frequently rants about society and culture | Statement: [Eric T. Duckman, hasCatchallTrait, frequently rants about society and culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchallTrait Context triple: [Eric T. Duckman, hasCatchallTrait, frequently rants about society and culture]
-
A.
hasCatchallRole
Indicates that an entity holds a broad, non-specific role intended to cover responsibilities not captured by more specialized roles.
-
B.
hasCatchFeature
Indicates that one entity possesses or is characterized by a specific catch-related feature or mechanism.
-
C.
containsTrait
chosen
Indicates that one entity possesses, exhibits, or is characterized by a specified trait.
-
D.
hasSignatureTrait
Indicates that an entity possesses a defining or characteristic trait that is especially distinctive or representative of it.
-
E.
hasCommonTraitWith
Indicates that two entities share at least one trait, characteristic, or property in common.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: April 29, 2026, 7:25 p.m.