Triple
T8763463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Settle |
E208261
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Settle |
E65136
|
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: Settle | Statement: [Matthew Settle, familyName, Settle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Settle Context triple: [Matthew Settle, familyName, Settle]
-
A.
Settle
chosen
Settle is a small market town in North Yorkshire, England, known as a gateway to the Yorkshire Dales and the scenic Settle–Carlisle railway.
-
B.
The Settlement
The Settlement is the main inhabited village of Edinburgh of the Seven Seas, the remote capital of Tristan da Cunha in the South Atlantic Ocean.
-
C.
Settle Folly
Settle Folly is a distinctive historic tower-like structure overlooking the town of Settle in North Yorkshire, England, often noted as a local landmark and viewpoint.
-
D.
The Debt
The Debt is a film associated with John Madden, best known as a director of character-driven dramas and thrillers.
-
E.
Heed
Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfc85e481909a7ce80c5022e6e9 |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf435d07148190b9e06d080f99a622 |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.