Triple
T11084706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigadier General Frank Savage |
E262087
|
entity |
| Predicate | leadershipGoal |
P6636
|
FINISHED |
| Object | increase bombing accuracy and mission success rates |
—
|
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: increase bombing accuracy and mission success rates | Statement: [Brigadier General Frank Savage, leadershipGoal, increase bombing accuracy and mission success rates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadershipGoal Context triple: [Brigadier General Frank Savage, leadershipGoal, increase bombing accuracy and mission success rates]
-
A.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
-
B.
goalSettingRole
Indicates a role in which an entity is responsible for defining, influencing, or managing goals for another entity or process.
-
C.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
D.
goals
chosen
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
E.
legacyGoal
Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c0cc3081908448cfb26c08daf5 |
completed | April 9, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.