Triple
T12844129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Beesley |
E307127
|
entity |
| Predicate | fieldOfWork |
P3
|
FINISHED |
| Object | Internet |
E356
|
NE 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: Internet | Statement: [Angela Beesley, fieldOfWork, Internet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Internet Context triple: [Angela Beesley, fieldOfWork, Internet]
-
A.
The Internet
The Internet is an American R&B and neo-soul band known for their smooth, genre-blending sound and association with the Odd Future collective.
-
B.
the internet
chosen
The internet is a global network of interconnected computers and servers that enables worldwide communication, information sharing, and access to digital services.
-
C.
Internet Area
The Internet Area is a division of the IETF responsible for protocols and technologies that enable and manage core Internet infrastructure and routing.
-
D.
Network
Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
-
E.
INETER
INETER is Nicaragua’s national geophysical and meteorological institute responsible for monitoring volcanic, seismic, and other natural hazards across the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff3a7208190b93f6292ed5efc07 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b9fa40c8190bbc2c6ad22795de4 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:36 p.m.