Triple
T16097916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 48 Hours |
E390532
|
entity |
| Predicate | hasReporterRole |
P27764
|
FINISHED |
| Object | correspondents from CBS News |
—
|
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: correspondents from CBS News | Statement: [48 Hours, hasReporterRole, correspondents from CBS News]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReporterRole Context triple: [48 Hours, hasReporterRole, correspondents from CBS News]
-
A.
hasOfficialReporter
Indicates that something (such as a case, decision, or proceeding) is associated with an officially designated reporter or publication that records it.
-
B.
canReport
Indicates that one entity has the ability or permission to report on, or submit a report about, another entity or situation.
-
C.
hasNotableRoleIn
chosen
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
D.
hasAuthorRoleFor
Indicates that an entity serves in the role of author for another entity, such as a work, document, or publication.
-
E.
hadStaffRole
Indicates that an entity served in a specific staff role or position for another entity during some period.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.