Triple
T37919993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Foxhound |
E945926
|
entity |
| Predicate | akcRecognition |
P189615
|
FINISHED |
| Object | American Kennel Club |
—
|
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: American Kennel Club | Statement: [English Foxhound, akcRecognition, American Kennel Club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: akcRecognition Context triple: [English Foxhound, akcRecognition, American Kennel Club]
-
A.
canRecognize
Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
-
B.
photoRecognition
Indicates that one entity identifies or verifies another entity based on information extracted from a photograph.
-
C.
recognizesPeople
Indicates that an entity is able to identify or acknowledge specific individuals as distinct persons.
-
D.
hasArtRecognition
Indicates that an entity has received formal recognition, awards, or notable acknowledgment for its artistic work or contributions.
-
E.
Beneath the Lion’s Gaze_recognition
Indicates that an entity acknowledges, identifies, or gives formal attention to the work titled "Beneath the Lion’s Gaze."
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc7b6c2c88190ad4f58980834053c |
completed | May 6, 2026, 10:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.