Triple
T14388986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC Micro |
E356793
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Beeb
Beeb is the popular nickname for the BBC Micro, an influential 1980s home computer widely used in UK education and early programming.
|
E1097901
|
NE FINISHED |
How this triple was built (4 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: Beeb | Statement: [BBC Micro, alsoKnownAs, Beeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beeb Context triple: [BBC Micro, alsoKnownAs, Beeb]
-
A.
BBC
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.
-
B.
BBC
BBC is a humanitarian organization that has provided aid and support to Burmese refugees and displaced people along the Thailand–Myanmar border.
-
C.
Ràdio 4
Ràdio 4 is a Catalan-language public radio station based in Catalonia and operated by Spain’s national broadcaster RTVE.
-
D.
BBC SO
BBC SO is the commonly used abbreviation for the BBC Symphony Orchestra, a leading British broadcast and concert orchestra based in London.
-
E.
BBC Radio 2
BBC Radio 2 is a major UK national radio station known for its broad mix of popular music, entertainment, and speech programming aimed primarily at adult listeners.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Beeb Triple: [BBC Micro, alsoKnownAs, Beeb]
Generated description
Beeb is the popular nickname for the BBC Micro, an influential 1980s home computer widely used in UK education and early programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beeb Target entity description: Beeb is the popular nickname for the BBC Micro, an influential 1980s home computer widely used in UK education and early programming.
-
A.
BBC
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.
-
B.
BBC
BBC is a humanitarian organization that has provided aid and support to Burmese refugees and displaced people along the Thailand–Myanmar border.
-
C.
Ràdio 4
Ràdio 4 is a Catalan-language public radio station based in Catalonia and operated by Spain’s national broadcaster RTVE.
-
D.
BBC SO
BBC SO is the commonly used abbreviation for the BBC Symphony Orchestra, a leading British broadcast and concert orchestra based in London.
-
E.
BBC Radio 2
BBC Radio 2 is a major UK national radio station known for its broad mix of popular music, entertainment, and speech programming aimed primarily at adult listeners.
- F. None of above. chosen
Provenance (5 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9029ef048190bdda5ee41618e720 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551623608190ba1de09b423cc5e1 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5671340081909d87978be2a5522b |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57a6711881909429bba35ee867c6 |
completed | May 8, 2026, 3:25 a.m. |
Created at: April 10, 2026, 1:16 a.m.