Triple
T1849222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshal Pentecost |
E41354
|
entity |
| Predicate | inUniverseRankLevel |
P4202
|
FINISHED |
| Object | highest-ranking officer in the Pan Pacific Defense Corps |
—
|
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: highest-ranking officer in the Pan Pacific Defense Corps | Statement: [Marshal Pentecost, inUniverseRankLevel, highest-ranking officer in the Pan Pacific Defense Corps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseRankLevel Context triple: [Marshal Pentecost, inUniverseRankLevel, highest-ranking officer in the Pan Pacific Defense Corps]
-
A.
isEntryLevelRankFor
Indicates that a rank represents the lowest or starting level within a particular role, position, or hierarchy.
-
B.
isRankedAbove
Indicates that one entity holds a higher position or status in an ordered ranking than another entity.
-
C.
highestRankIn
chosen
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
D.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
E.
rankComparedTo
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdca6d8819083c66f3a29fd9fd1 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.