Triple
T13601746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerry Killinger |
E324958
|
entity |
| Predicate | strategyImplemented |
P31887
|
FINISHED |
| Object | aggressive expansion of Washington Mutual in the 1990s |
—
|
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: aggressive expansion of Washington Mutual in the 1990s | Statement: [Kerry Killinger, strategyImplemented, aggressive expansion of Washington Mutual in the 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strategyImplemented Context triple: [Kerry Killinger, strategyImplemented, aggressive expansion of Washington Mutual in the 1990s]
-
A.
implementedPlan
Indicates that a specific plan has been carried out or put into effect by an entity.
-
B.
strategyType
chosen
Indicates the specific kind or category of strategy associated with an entity or action.
-
C.
missionStrategy
Indicates the overarching plan, approach, or method an entity adopts to achieve a specific mission or objective.
-
D.
aimedToImplement
Indicates that an entity had the intention or plan to carry out, realize, or put another entity (such as a policy, idea, or system) into effect.
-
E.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.