Triple
T6002793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirk Hinrich |
E133635
|
entity |
| Predicate | hallmark |
P32310
|
FINISHED |
| Object | defensive intensity |
—
|
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: defensive intensity | Statement: [Kirk Hinrich, hallmark, defensive intensity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hallmark Context triple: [Kirk Hinrich, hallmark, defensive intensity]
-
A.
marque
Indicates that one entity is the brand or make associated with another entity, such as a product, vehicle, or manufactured item.
-
B.
marked
Indicates that one entity has been identified, labeled, or highlighted in some way by another entity.
-
C.
hall
Indicates that an entity is a hall, i.e., a large room or building space used for gatherings, events, or passage.
-
D.
markType
Indicates the specific category or kind of mark associated with or applied to an entity.
-
E.
distinctiveMarking
chosen
Indicates that one entity bears a unique or distinguishing visual feature or pattern that sets it apart from others.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee9cb0c8190a3361c36ac3944af |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.