Triple
T28684196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admiral Husband E. Kimmel was guilty of errors of judgment |
E726085
|
entity |
| Predicate | evaluationTarget |
P165775
|
FINISHED |
| Object | Kimmel’s pre-attack deployment of battleships and carriers |
—
|
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: Kimmel’s pre-attack deployment of battleships and carriers | Statement: [Admiral Husband E. Kimmel was guilty of errors of judgment, evaluationTarget, Kimmel’s pre-attack deployment of battleships and carriers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluationTarget Context triple: [Admiral Husband E. Kimmel was guilty of errors of judgment, evaluationTarget, Kimmel’s pre-attack deployment of battleships and carriers]
-
A.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
B.
trainingObjective
Indicates the goal or target outcome that a training process is designed to achieve.
-
C.
optimizationTarget
Indicates that one entity is the goal or objective that another entity is trying to improve, optimize, or make more efficient.
-
D.
targetsVector
Indicates that one entity is directed toward, aimed at, or focused on another entity represented as a vector (e.g., a direction or target position).
-
E.
usesTarget
Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 28, 2026, 5:11 a.m.