Triple
T25308756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bag Man |
E634550
|
entity |
| Predicate | notableOrganizationCovered |
P151622
|
FINISHED |
| Object | United States Department of Justice |
—
|
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 Department of Justice | Statement: [Bag Man, notableOrganizationCovered, United States Department of Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableOrganizationCovered Context triple: [Bag Man, notableOrganizationCovered, United States Department of Justice]
-
A.
notableOrganizationWithin
Indicates that one organization is a prominent or significant entity operating within the scope, structure, or domain of another organization.
-
B.
notableOrganizationDepicted
Indicates that a notable organization is visually represented or portrayed in the subject (such as an image, work, or media item).
-
C.
notableOrganizationType
Indicates that an organization is recognized as being of a particular notable or significant type or category.
-
D.
notableDestinationOrganization
chosen
Indicates that an organization is a significant or prominent destination associated with the subject, such as a key place they visit, work with, or are connected to.
-
E.
notableEmployer
Indicates that an entity has been employed by, or has worked for, a particularly significant or noteworthy organization or individual.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: April 21, 2026, 1:25 p.m.