Triple
T6002784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirk Hinrich |
E133635
|
entity |
| Predicate | hasParticularStrength |
P40124
|
FINISHED |
| Object | perimeter defense |
—
|
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: perimeter defense | Statement: [Kirk Hinrich, hasParticularStrength, perimeter defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParticularStrength Context triple: [Kirk Hinrich, hasParticularStrength, perimeter defense]
-
A.
hasNotableStrengthIn
chosen
Indicates that an entity possesses a particularly high level of ability, effectiveness, or advantage in a specific area or domain.
-
B.
hasWeakness
Indicates that one entity is vulnerable to, or can be adversely affected or defeated by, another entity.
-
C.
hasDefenderStrength
Indicates that an entity possesses a certain level or measure of defensive capability or protective power.
-
D.
hasForceStrength
Indicates that one entity possesses a certain level or degree of physical or exerted force strength in relation to another entity or context.
-
E.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
- 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.