Triple
T17803359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Covent Garden station |
E444490
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Leslie Green |
—
|
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: Leslie Green | Statement: [Covent Garden station, architect, Leslie Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Green Context triple: [Covent Garden station, architect, Leslie Green]
-
A.
Leslie Green
chosen
Leslie Green was an early 20th-century British architect best known for designing many of the distinctive red-tiled London Underground stations.
-
B.
Leslie Green
Leslie Green is a prominent legal philosopher known for his influential work in jurisprudence and political philosophy.
-
C.
Milton Waddams
Milton Waddams is a meek, mumbling office worker from the cult comedy film "Office Space," best known for his obsession with his red Swingline stapler and simmering resentment toward his employer.
-
D.
Charles Hanson
Charles Hanson is a central character in the crime drama film "Before the Devil Knows You're Dead," whose actions help drive the story’s tragic heist and family conflict.
-
E.
Gordon Jennings
Gordon Jennings was an American special effects artist renowned for his pioneering visual effects work in mid-20th-century Hollywood science fiction and adventure films.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880171608190be2088c7a387bfb7 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.