Triple
T13704802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Dolan |
E328611
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | W1A |
E733553
|
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: W1A | Statement: [Monica Dolan, notableWork, W1A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W1A Context triple: [Monica Dolan, notableWork, W1A]
-
A.
W1A
chosen
W1A is a British satirical television comedy series that follows the chaotic inner workings of the BBC through the misadventures of its management team.
-
B.
Maida Vale
Maida Vale is a London Underground station in the City of Westminster, known for its early 20th-century architecture and location in the affluent Maida Vale residential district.
-
C.
101 Wimpole Street
101 Wimpole Street is a notable address on Wimpole Street in central London, historically associated with prominent medical professionals and literary figures.
-
D.
104 Wimpole Street
104 Wimpole Street is a notable address on Wimpole Street in central London, historically associated with prominent residents and medical professionals.
-
E.
108 Wimpole Street
108 Wimpole Street is a notable address on Wimpole Street in central London, historically associated with prominent medical professionals and literary figures.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.