Triple
T23070730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Sinatra as Dave Hirsh |
E575185
|
entity |
| Predicate | characterMilitaryStatus |
P65983
|
FINISHED |
| Object | Army veteran |
—
|
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: Army veteran | Statement: [Frank Sinatra as Dave Hirsh, characterMilitaryStatus, Army veteran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterMilitaryStatus Context triple: [Frank Sinatra as Dave Hirsh, characterMilitaryStatus, Army veteran]
-
A.
militaryStatus
Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
-
B.
hasMilitaryStatus
chosen
Indicates that an entity possesses a specific military affiliation, role, or status (such as active duty, reserve, or veteran).
-
C.
stanceOnMilitaryService
Indicates an entity’s expressed position, attitude, or policy regarding military service.
-
D.
militaryStatusChange
Indicates a change in an entity’s military status, such as entering, leaving, or transitioning between roles or service conditions within the armed forces.
-
E.
hasMilitaryCondition
Indicates that an entity is subject to a specific military-related status, requirement, or condition.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c5f17348190ab92cfdae9bcaeba |
completed | April 29, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:56 p.m.