Triple
T18378385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town on Trial |
E446375
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Kenneth Hayles
Kenneth Hayles was a screenwriter known for his work on mid-20th-century British crime and drama films.
|
E1321291
|
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: Kenneth Hayles | Statement: [Town on Trial, screenwriter, Kenneth Hayles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth Hayles Context triple: [Town on Trial, screenwriter, Kenneth Hayles]
-
A.
Brian Hayles
Brian Hayles was a British screenwriter and novelist best known for his work on the television series Doctor Who, including creating the Ice Warriors.
-
B.
Max Freeling
Max Freeling is a character in Michael Connelly’s crime novel "Void Moon," involved in the book’s tense, noir-style heist and underworld drama.
-
C.
Gunnar Birkerts
Gunnar Birkerts was a Latvian-American modernist architect renowned for his innovative, sculptural designs for cultural and institutional buildings in the United States.
-
D.
Sven Birkerts
Sven Birkerts is an American essayist and literary critic best known for his reflections on reading, literature, and the impact of digital technology on culture.
-
E.
Douglas Kellner
Douglas Kellner is an American critical theorist and cultural studies scholar known for his analyses of media, technology, and contemporary society.
- 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: Kenneth Hayles Triple: [Town on Trial, screenwriter, Kenneth Hayles]
Generated description
Kenneth Hayles was a screenwriter known for his work on mid-20th-century British crime and drama films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenneth Hayles Target entity description: Kenneth Hayles was a screenwriter known for his work on mid-20th-century British crime and drama films.
-
A.
Brian Hayles
Brian Hayles was a British screenwriter and novelist best known for his work on the television series Doctor Who, including creating the Ice Warriors.
-
B.
Max Freeling
Max Freeling is a character in Michael Connelly’s crime novel "Void Moon," involved in the book’s tense, noir-style heist and underworld drama.
-
C.
Gunnar Birkerts
Gunnar Birkerts was a Latvian-American modernist architect renowned for his innovative, sculptural designs for cultural and institutional buildings in the United States.
-
D.
Sven Birkerts
Sven Birkerts is an American essayist and literary critic best known for his reflections on reading, literature, and the impact of digital technology on culture.
-
E.
Douglas Kellner
Douglas Kellner is an American critical theorist and cultural studies scholar known for his analyses of media, technology, and contemporary society.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77ea9f481909d252120346498ab |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d83fe9a08190b18b9f61ee606372 |
completed | May 13, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d915215c819090023094f1fc47f1 |
completed | May 13, 2026, 1:51 a.m. |
Created at: April 10, 2026, 10:45 a.m.