Triple
T14848453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Foyle |
E349162
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Foyle |
E432060
|
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: Foyle | Statement: [Christopher Foyle, familyName, Foyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foyle Context triple: [Christopher Foyle, familyName, Foyle]
-
A.
Foyle
chosen
Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
-
B.
Foale
Foale is the surname of Michael Foale, a British-American astrophysicist and former NASA astronaut known for his long-duration spaceflights and work on the Mir and International Space Station.
-
C.
Foote
Foote is a surname of English origin borne by various notable individuals across politics, the arts, and other fields.
-
D.
Foetz
Foetz is a small town in southwestern Luxembourg, known for its commercial and industrial areas within the commune of Mondercange.
-
E.
Foynes
Foynes is a village and port in County Limerick, Ireland, historically known as a key transatlantic seaplane base and as the birthplace of Irish coffee.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6502d3f081909ff6fa8722769e2e |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:53 a.m.