Triple
T19865504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naga Munchetty |
E477378
|
entity |
| Predicate | employedBy |
P7
|
FINISHED |
| Object | BBC News |
—
|
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: BBC News | Statement: [Naga Munchetty, employedBy, BBC News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC News Context triple: [Naga Munchetty, employedBy, BBC News]
-
A.
BBC News Centre
BBC News Centre is the main hub for BBC’s national and international news operations, housing its newsrooms, studios, and production facilities.
-
B.
BBC World News
BBC World News is the BBC’s international television news channel, providing global news coverage and analysis to audiences worldwide.
-
C.
BBC
BBC is a humanitarian organization that has provided aid and support to Burmese refugees and displaced people along the Thailand–Myanmar border.
-
D.
BBC
chosen
The BBC (British Broadcasting Corporation) is the United Kingdom’s publicly funded national broadcaster, known worldwide for producing and distributing television, radio, and online content.
-
E.
BBC News Channel
BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589eb24081908715b683de1edc68 |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.