Triple
T38226917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant colonel (United States Army) |
E1012168
|
entity |
| Predicate | commonFormOfAddress |
P104442
|
FINISHED |
| Object | Lieutenant Colonel |
—
|
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: Lieutenant Colonel | Statement: [Lieutenant colonel (United States Army), commonFormOfAddress, Lieutenant Colonel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonFormOfAddress Context triple: [Lieutenant colonel (United States Army), commonFormOfAddress, Lieutenant Colonel]
-
A.
addressingType
Indicates the manner or form in which one entity addresses or refers to another (e.g., formally, informally, by title, or by name).
-
B.
mediaFormOfAddress
Indicates how something is referred to or addressed within a media context (e.g., title, style, or mode of address used in media).
-
C.
officeHoldersAreAddressedAs
chosen
Indicates that individuals holding a particular office or position are referred to by a specific title or form of address.
-
D.
alternativeHonorificFor
Indicates that one honorific title can be used as an alternative form of address for another honorific.
-
E.
addressingMethod
Indicates the manner or form of address one entity uses when speaking or referring to another entity.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.