Triple
T6399274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karla Hurdle |
E144019
|
entity |
| Predicate | hasNotabilitySource |
P70412
|
FINISHED |
| Object | relationship to Clint Hurdle |
—
|
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: relationship to Clint Hurdle | Statement: [Karla Hurdle, hasNotabilitySource, relationship to Clint Hurdle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotabilitySource Context triple: [Karla Hurdle, hasNotabilitySource, relationship to Clint Hurdle]
-
A.
hasNotabilityNote
Indicates that there is an associated note or annotation explaining the significance, prominence, or special relevance of the subject.
-
B.
hasNotableFeature
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
C.
hasNotableReference
Indicates that one entity makes a significant or noteworthy mention of, or allusion to, another entity.
-
D.
hasNotableDocument
Indicates that an entity is associated with a document that is considered significant, noteworthy, or of particular importance.
-
E.
hasNotableCorpus
Indicates that an entity possesses a significant, well-recognized body of work, texts, or collected materials associated with 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06897ebc48190842d48cce469eba5 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:35 p.m.