Triple
T8112293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Wilding |
E189383
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Waterloo Road |
E519760
|
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: Waterloo Road | Statement: [Michael Wilding, notableWork, Waterloo Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterloo Road Context triple: [Michael Wilding, notableWork, Waterloo Road]
-
A.
Waterloo Road
chosen
Waterloo Road is a British television drama series set in a troubled comprehensive school, focusing on the lives of its teachers and students.
-
B.
Waterloo Road
Waterloo Road is a major thoroughfare in central London running near Waterloo station and connecting key cultural and commercial areas on the South Bank.
-
C.
Regent Road
Regent Road is a notable street in central Edinburgh, Scotland, running along the southern edge of Calton Hill and offering prominent views of the city.
-
D.
Raglan Road
Raglan Road is a popular Irish pub and restaurant known for its traditional cuisine, live music, and lively pub atmosphere.
-
E.
Barracks Road
Barracks Road is a prominent shopping center in Charlottesville, Virginia, featuring a mix of national retailers, local shops, and dining options.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432bcb648190b5ddbcc2a3dbc9b1 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf278d5abc8190a9330918486e464f |
completed | April 3, 2026, 2:35 a.m. |
Created at: March 30, 2026, 5:32 p.m.