Triple
T17912276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stewart |
E447842
|
entity |
| Predicate | corpsRank |
P64315
|
FINISHED |
| Object | Green Lantern officer |
—
|
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: Green Lantern officer | Statement: [John Stewart, corpsRank, Green Lantern officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corpsRank Context triple: [John Stewart, corpsRank, Green Lantern officer]
-
A.
civilServiceRank
Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
-
B.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
C.
officerCorps
chosen
Indicates that an entity belongs to, is part of, or is associated with a group or body of officers within an organization or institution.
-
D.
militaryRankScope
Indicates the hierarchical level or range of authority that a military rank applies to within an organizational or operational context.
-
E.
correspondingRankInUSArmy
Indicates that one military rank is the equivalent or closest matching rank within the hierarchy of the United States Army.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea0ea008190b54a999e0704fb67 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.