Triple
T10500666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Correspondent at NBC News |
E247663
|
entity |
| Predicate | reportsFor |
P94491
|
FINISHED |
| Object | NBC News broadcasts |
—
|
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: NBC News broadcasts | Statement: [Special Correspondent at NBC News, reportsFor, NBC News broadcasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportsFor Context triple: [Special Correspondent at NBC News, reportsFor, NBC News broadcasts]
-
A.
reportsThrough
Indicates that one entity formally communicates and is accountable to another entity through an established reporting or supervisory chain.
-
B.
reportsWithin
Indicates that one entity submits or delivers a report to another entity within a specified time frame or boundary.
-
C.
reportsInStandard
Indicates that something is reported or presented according to a specified standard or standardized format.
-
D.
reportType
Indicates the specific category or kind of report associated with an entity or action.
-
E.
reportsImplementedBy
Indicates that a report is realized, produced, or carried out by a specific implementing entity or system.
- F. None of above. chosen
Provenance (4 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098ef57c8190a9803c2c1736d299 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe46a6448190b061bc3545835cad |
completed | April 7, 2026, 12:53 p.m. |
Created at: April 6, 2026, 12:25 p.m.