Triple
T12926784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Dotrice |
E309263
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dotrice
Dotrice is a surname most notably associated with British actor Roy Dotrice and his family of performers.
|
E1012268
|
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: Dotrice | Statement: [Roy Dotrice, familyName, Dotrice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dotrice Context triple: [Roy Dotrice, familyName, Dotrice]
-
A.
La Dotta
La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
-
B.
Docter
Docter is the surname of Pete Docter, the acclaimed American animator, director, and key creative figure at Pixar Animation Studios.
-
C.
Medicosma
Medicosma is a genus of flowering plants in the citrus family Rutaceae, comprising shrubs and small trees native mainly to Australasia and nearby regions.
-
D.
Doctores
Doctores is a Mexico City Metro station on Line 8 serving the Doctores neighborhood near the city center.
-
E.
The Clinic
The Clinic is an Irish medical drama television series that follows the personal and professional lives of staff at a busy Dublin health clinic.
- 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: Dotrice Triple: [Roy Dotrice, familyName, Dotrice]
Generated description
Dotrice is a surname most notably associated with British actor Roy Dotrice and his family of performers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dotrice Target entity description: Dotrice is a surname most notably associated with British actor Roy Dotrice and his family of performers.
-
A.
La Dotta
La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
-
B.
Docter
Docter is the surname of Pete Docter, the acclaimed American animator, director, and key creative figure at Pixar Animation Studios.
-
C.
Medicosma
Medicosma is a genus of flowering plants in the citrus family Rutaceae, comprising shrubs and small trees native mainly to Australasia and nearby regions.
-
D.
Doctores
Doctores is a Mexico City Metro station on Line 8 serving the Doctores neighborhood near the city center.
-
E.
The Clinic
The Clinic is an Irish medical drama television series that follows the personal and professional lives of staff at a busy Dublin health clinic.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af64905c8190b0f2adb66c17c476 |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b19fbe3881909e08628c0672388b |
completed | May 3, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b5d11960819092c920f19eaad540 |
completed | May 3, 2026, 2:41 a.m. |
Created at: April 9, 2026, 5:42 p.m.