Triple
T16087600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Winterton |
E390272
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Turnour
Turnour is the aristocratic family name associated with the British peerage title of Lord Winterton.
|
E1192804
|
NE FINISHED |
How this triple was built (4 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: Turnour | Statement: [Lord Winterton, familyName, Turnour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turnour Context triple: [Lord Winterton, familyName, Turnour]
-
A.
Turnor
Turnor is a surname variant of "Turner," historically associated with the occupational name for someone who worked with a lathe or turned wood or metal.
-
B.
Testour
Testour is a historic town in northern Tunisia known for its Andalusian architectural heritage and cultural traditions.
-
C.
The Tournament
The Tournament is a creative work associated with Canadian composer and producer Ari Posner, likely a film or television project for which he provided the musical score.
-
D.
Btourram
Btourram is a village in northern Lebanon, known as the birthplace of Lebanese philosopher and diplomat Charles Malik.
-
E.
Tour Totem
Tour Totem is a modern high-rise residential and office building located in Paris’s Grenelle district near the Seine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Turnour Triple: [Lord Winterton, familyName, Turnour]
Generated description
Turnour is the aristocratic family name associated with the British peerage title of Lord Winterton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turnour Target entity description: Turnour is the aristocratic family name associated with the British peerage title of Lord Winterton.
-
A.
Turnor
Turnor is a surname variant of "Turner," historically associated with the occupational name for someone who worked with a lathe or turned wood or metal.
-
B.
Testour
Testour is a historic town in northern Tunisia known for its Andalusian architectural heritage and cultural traditions.
-
C.
The Tournament
The Tournament is a creative work associated with Canadian composer and producer Ari Posner, likely a film or television project for which he provided the musical score.
-
D.
Btourram
Btourram is a village in northern Lebanon, known as the birthplace of Lebanese philosopher and diplomat Charles Malik.
-
E.
Tour Totem
Tour Totem is a modern high-rise residential and office building located in Paris’s Grenelle district near the Seine.
- F. None of above. chosen
Provenance (5 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e184508dfc819085590b2c4731c8ef |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe490d494819081f812811f032702 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe63f757c81908c7dc3c5ae3075c6 |
completed | May 10, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6b3f25481908dd4b6108b5d95c0 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:59 a.m.