Triple
T13481280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Next of Kin |
E318377
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Michael Jenning
Michael Jenning is a screenwriter known for his work on the film "Next of Kin."
|
E1043053
|
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: Michael Jenning | Statement: [Next of Kin, screenwriter, Michael Jenning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Jenning Context triple: [Next of Kin, screenwriter, Michael Jenning]
-
A.
Michael Jenkins
Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
-
B.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
C.
Michael Kinney
Michael Kinney is a relatively obscure individual whose primary distinguishing feature is sharing the surname Kinney, with no widely recognized public achievements or roles documented.
-
D.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
E.
Luke Jennings
Luke Jennings is a British author and former dance critic best known for creating the Villanelle novels that inspired the television series "Killing Eve."
- 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: Michael Jenning Triple: [Next of Kin, screenwriter, Michael Jenning]
Generated description
Michael Jenning is a screenwriter known for his work on the film "Next of Kin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Jenning Target entity description: Michael Jenning is a screenwriter known for his work on the film "Next of Kin."
-
A.
Michael Jenkins
Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
-
B.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
C.
Michael Kinney
Michael Kinney is a relatively obscure individual whose primary distinguishing feature is sharing the surname Kinney, with no widely recognized public achievements or roles documented.
-
D.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
E.
Luke Jennings
Luke Jennings is a British author and former dance critic best known for creating the Villanelle novels that inspired the television series "Killing Eve."
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf36c6b08190ba99400600e0b662 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74635145c8190a42199fe4ed8c2a5 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f748dfd4f081908fd5d77fe70f9db4 |
completed | May 3, 2026, 1:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74965c53081909c662f7f991849bf |
completed | May 3, 2026, 1:11 p.m. |
Created at: April 9, 2026, 9:42 p.m.