Triple
T566198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Master |
E13557
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Sacha Dhawan
Sacha Dhawan is a British actor known for his versatile television and film roles, including his acclaimed portrayal of the Master in the long-running sci-fi series Doctor Who.
|
E71113
|
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: Sacha Dhawan | Statement: [The Master, portrayedBy, Sacha Dhawan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sacha Dhawan Context triple: [The Master, portrayedBy, Sacha Dhawan]
-
A.
Dev Patel
Dev Patel is a British actor known for his breakout role in "Slumdog Millionaire" and acclaimed performances in films such as "Lion" and "The Green Knight."
-
B.
Salman
Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
-
C.
Rajat Monga
Rajat Monga is a computer scientist and engineer best known as a co-creator and early lead of TensorFlow at Google Brain.
-
D.
Naveen Andrews
Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
-
E.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
- 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: Sacha Dhawan Triple: [The Master, portrayedBy, Sacha Dhawan]
Generated description
Sacha Dhawan is a British actor known for his versatile television and film roles, including his acclaimed portrayal of the Master in the long-running sci-fi series Doctor Who.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sacha Dhawan Target entity description: Sacha Dhawan is a British actor known for his versatile television and film roles, including his acclaimed portrayal of the Master in the long-running sci-fi series Doctor Who.
-
A.
Dev Patel
Dev Patel is a British actor known for his breakout role in "Slumdog Millionaire" and acclaimed performances in films such as "Lion" and "The Green Knight."
-
B.
Salman
Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
-
C.
Rajat Monga
Rajat Monga is a computer scientist and engineer best known as a co-creator and early lead of TensorFlow at Google Brain.
-
D.
Naveen Andrews
Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
-
E.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b01aca48190944408d066519149 |
completed | March 1, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4efd0d5b88190a8c0822800f48e2a |
completed | March 2, 2026, 2:02 a.m. |
| NEDg | Description generation | batch_69a4f043efec8190a3f53ab2764252be |
completed | March 2, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4f3eb1e3481909aa2b8290ed99e49 |
completed | March 2, 2026, 2:20 a.m. |
Created at: March 1, 2026, 7:32 p.m.