Triple
T31085270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bing Crosby as Bob Wallace |
E792214
|
entity |
| Predicate | branchOfServiceInStory |
P145039
|
FINISHED |
| Object | United States Army |
—
|
NE NERFINISHED |
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: United States Army | Statement: [Bing Crosby as Bob Wallace, branchOfServiceInStory, United States Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: branchOfServiceInStory Context triple: [Bing Crosby as Bob Wallace, branchOfServiceInStory, United States Army]
-
A.
branchOfServiceInBackstory
Indicates that an entity’s backstory includes service in a specified military or organizational branch.
-
B.
branchOfServiceModelledOn
Indicates that one branch of service is modeled, structured, or designed based on another branch of service.
-
C.
branchOfServiceFocus
Indicates that one entity is the primary military or organizational branch of service emphasized, specialized in, or targeted by another entity or activity.
-
D.
organizationInStory
Indicates that an organization appears or plays a role within the context of a specific story.
-
E.
serviceBranchInFiction
chosen
Indicates that a fictional character, organization, or entity is depicted as serving in a particular branch of the armed forces within a work of fiction.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695fc607c8190a5735f3b4bded7db |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9:02 p.m.