Triple
T37541188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sgt. Byrd |
E933328
|
entity |
| Predicate | settingOfLevels |
P33687
|
FINISHED |
| Object | military-themed areas |
—
|
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: military-themed areas | Statement: [Sgt. Byrd, settingOfLevels, military-themed areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfLevels Context triple: [Sgt. Byrd, settingOfLevels, military-themed areas]
-
A.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of another entity.
-
B.
definesLevel
Indicates that one entity specifies or establishes the degree, stage, or intensity at which another entity is set or operates.
-
C.
configurationLevel
chosen
Indicates the degree or tier of settings or parameters applied to configure something within a system or context.
-
D.
exportLevel
Indicates the degree or extent to which something is produced in one place and sent out or made available to other places or markets.
-
E.
initiationLevels
Indicates the degree or stage at which an action, process, or relationship is begun or set in motion between entities.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 3, 2026, 4:17 p.m.