Triple
T10082954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Wattis |
E213947
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wattis
Wattis is an English surname most notably associated with character actor Richard Wattis, known for his roles in mid-20th-century British cinema and television.
|
E840757
|
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: Wattis | Statement: [Richard Wattis, familyName, Wattis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wattis Context triple: [Richard Wattis, familyName, Wattis]
-
A.
Wiatt
Wiatt is a given name that functions as a less common spelling variant of the name Wyatt.
-
B.
Katinger Watt
Katinger Watt is a coastal nature reserve and former tidal flat area on the North Sea in northern Germany, known for its rich birdlife and protected wetlands.
-
C.
Waimes
Waimes is a municipality in the predominantly French-speaking region of Wallonia in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
-
D.
Edwinton
Edwinton was the original name of the city now known as Bismarck, the capital of North Dakota.
-
E.
Wallas
Wallas is a surname most notably associated with Graham Wallas, the British social psychologist and political scientist known for his work on democratic theory and the psychology of thought.
- 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: Wattis Triple: [Richard Wattis, familyName, Wattis]
Generated description
Wattis is an English surname most notably associated with character actor Richard Wattis, known for his roles in mid-20th-century British cinema and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wattis Target entity description: Wattis is an English surname most notably associated with character actor Richard Wattis, known for his roles in mid-20th-century British cinema and television.
-
A.
Wiatt
Wiatt is a given name that functions as a less common spelling variant of the name Wyatt.
-
B.
Katinger Watt
Katinger Watt is a coastal nature reserve and former tidal flat area on the North Sea in northern Germany, known for its rich birdlife and protected wetlands.
-
C.
Waimes
Waimes is a municipality in the predominantly French-speaking region of Wallonia in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
-
D.
Edwinton
Edwinton was the original name of the city now known as Bismarck, the capital of North Dakota.
-
E.
Wallas
Wallas is a surname most notably associated with Graham Wallas, the British social psychologist and political scientist known for his work on democratic theory and the psychology of thought.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b66b256c8190861066f7c19008d2 |
completed | April 5, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69d2b7901ea08190a48e984356bd3d71 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b8813f9c8190a85462efb7a0a517 |
completed | April 5, 2026, 7:31 p.m. |
Created at: March 30, 2026, 9 p.m.