Triple
T24811240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Optime |
E620791
|
entity |
| Predicate | rankingRelativeToWrangler |
P22893
|
FINISHED |
| Object | just below Wrangler level |
—
|
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: just below Wrangler level | Statement: [Senior Optime, rankingRelativeToWrangler, just below Wrangler level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingRelativeToWrangler Context triple: [Senior Optime, rankingRelativeToWrangler, just below Wrangler level]
-
A.
rankingRole
Indicates that one entity holds a specific position or level in an ordered hierarchy or ranking relative to others.
-
B.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
C.
rankingMember
Indicates that one entity is the highest-ranking or most senior member within a particular group, committee, or organization relative to the others.
-
D.
rankingBehind
Indicates that one entity holds a lower or later position than another in an ordered ranking or hierarchy.
-
E.
rankComparedTo
chosen
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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:50 a.m.