Triple
T2995256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mindhunters |
E81049
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Will Kemp
Will Kemp is an English actor and former professional ballet dancer known for his roles in film and television, including the psychological thriller "Mindhunters."
|
E318328
|
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: Will Kemp | Statement: [Mindhunters, starredActor, Will Kemp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Kemp Context triple: [Mindhunters, starredActor, Will Kemp]
-
A.
Eric Kennington
Eric Kennington was a British painter, sculptor, and war artist renowned for his powerful depictions of soldiers and combat during the World Wars.
-
B.
Frank Morriss
Frank Morriss was an American film editor known for his work on major Hollywood action and adventure films, including "Romancing the Stone."
-
C.
Jonathan Redmond
Jonathan Redmond is a film editor best known for co-editing Baz Luhrmann’s 2022 biographical musical drama "Elvis."
-
D.
Stephen Smith
Stephen Smith is a member of the Smith family, known as the son of Benjamin A. Smith II.
-
E.
Stephen Smith
Stephen Smith was a pioneering American public health reformer and physician who played a key role in advancing modern public health systems in the United States.
- 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: Will Kemp Triple: [Mindhunters, starredActor, Will Kemp]
Generated description
Will Kemp is an English actor and former professional ballet dancer known for his roles in film and television, including the psychological thriller "Mindhunters."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Kemp Target entity description: Will Kemp is an English actor and former professional ballet dancer known for his roles in film and television, including the psychological thriller "Mindhunters."
-
A.
Eric Kennington
Eric Kennington was a British painter, sculptor, and war artist renowned for his powerful depictions of soldiers and combat during the World Wars.
-
B.
Frank Morriss
Frank Morriss was an American film editor known for his work on major Hollywood action and adventure films, including "Romancing the Stone."
-
C.
Jonathan Redmond
Jonathan Redmond is a film editor best known for co-editing Baz Luhrmann’s 2022 biographical musical drama "Elvis."
-
D.
Stephen Smith
Stephen Smith is a member of the Smith family, known as the son of Benjamin A. Smith II.
-
E.
Stephen Smith
Stephen Smith was a pioneering American public health reformer and physician who played a key role in advancing modern public health systems in the United States.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f2e5888190b3346012e2578dab |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e3bac408190b09bafee840eb0d1 |
completed | March 11, 2026, 8:56 a.m. |
| NEDg | Description generation | batch_69b1320a28808190b0f751eb6f198795 |
completed | March 11, 2026, 9:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1cb35a0048190bad4b190eb710ec1 |
completed | March 11, 2026, 8:06 p.m. |
Created at: March 8, 2026, 2:59 p.m.