Triple
T14133870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian Maudsley |
E350238
|
entity |
| Predicate | hasRomanticRelationshipWith |
P9994
|
FINISHED |
| Object | Ted Burgess |
E349127
|
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: Ted Burgess | Statement: [Marian Maudsley, hasRomanticRelationshipWith, Ted Burgess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Burgess Context triple: [Marian Maudsley, hasRomanticRelationshipWith, Ted Burgess]
-
A.
Ted Burgess
chosen
Ted Burgess is a central figure in L.P. Hartley’s novel "The Go-Between," known as a passionate farmer whose illicit romance drives the story’s tragic events.
-
B.
Dan Bunting
Dan Bunting is a video game developer best known for his leadership and design work on the Call of Duty series at Treyarch.
-
C.
Ian Benton
Ian Benton is a Scottish football executive best known for serving as chairman of Albion Rovers F.C.
-
D.
Phil Gartside
Phil Gartside was an English businessman best known for serving as chairman of Bolton Wanderers Football Club during its successful Premier League era.
-
E.
Phil Bowler
Phil Bowler is an American jazz bassist known for his work with prominent ensembles and contributions to contemporary jazz performance and recording.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1288b48190a382732fac13aaf7 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 11:40 p.m.