Triple
T10431811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Night |
E245931
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Henry Allen
Henry Allen is a writer best known for his work on the film "All Night."
|
E863848
|
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: Henry Allen | Statement: [All Night, writer, Henry Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Allen Context triple: [All Night, writer, Henry Allen]
-
A.
Hal Caine
Hal Caine is a fictional character known primarily as the husband of Charly Baltimore in the film "The Long Kiss Goodnight."
-
B.
George Denbrough
George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
-
C.
Allan Scott
Allan Scott was an American screenwriter best known for his work on classic Hollywood films of the 1930s and 1940s, particularly in the musical and comedy genres.
-
D.
Allan Scott
Allan Scott is a Scottish screenwriter and producer known for his work on films such as "The Preacher's Wife" and for co-creating the Netflix series "The Queen's Gambit."
-
E.
Henry Lucas
Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
- 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: Henry Allen Triple: [All Night, writer, Henry Allen]
Generated description
Henry Allen is a writer best known for his work on the film "All Night."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henry Allen Target entity description: Henry Allen is a writer best known for his work on the film "All Night."
-
A.
Hal Caine
Hal Caine is a fictional character known primarily as the husband of Charly Baltimore in the film "The Long Kiss Goodnight."
-
B.
George Denbrough
George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
-
C.
Allan Scott
Allan Scott was an American screenwriter best known for his work on classic Hollywood films of the 1930s and 1940s, particularly in the musical and comedy genres.
-
D.
Allan Scott
Allan Scott is a Scottish screenwriter and producer known for his work on films such as "The Preacher's Wife" and for co-creating the Netflix series "The Queen's Gambit."
-
E.
Henry Lucas
Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea63f03c81908331655241102725 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb068bc8190be9c7c916850278e |
completed | April 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69d889c45b588190ad103b4bc8cc5fbd |
completed | April 10, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:13 p.m.