Triple
T22428304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That Good Night |
E554429
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Alan Latham
Alan Latham is a film producer known for his work on the drama "That Good Night."
|
E1556176
|
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: Alan Latham | Statement: [That Good Night, producer, Alan Latham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Latham Context triple: [That Good Night, producer, Alan Latham]
-
A.
Philip Latham
Philip Latham was a British actor best known for his character roles in film and television, particularly in period dramas.
-
B.
John Bluthal
John Bluthal was a Polish-born British actor best known for his comic roles in British television and film, including his memorable performance in the sitcom "The Vicar of Dibley."
-
C.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
D.
Michael Alsbury
Michael Alsbury was an American test pilot for Scaled Composites who was killed during a 2014 test flight of the SpaceShipTwo suborbital spaceplane.
-
E.
Thomas Lownds
Thomas Lownds was an 18th-century London publisher best known for issuing the first edition of Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
- 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: Alan Latham Triple: [That Good Night, producer, Alan Latham]
Generated description
Alan Latham is a film producer known for his work on the drama "That Good Night."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Latham Target entity description: Alan Latham is a film producer known for his work on the drama "That Good Night."
-
A.
Philip Latham
Philip Latham was a British actor best known for his character roles in film and television, particularly in period dramas.
-
B.
John Bluthal
John Bluthal was a Polish-born British actor best known for his comic roles in British television and film, including his memorable performance in the sitcom "The Vicar of Dibley."
-
C.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
D.
Michael Alsbury
Michael Alsbury was an American test pilot for Scaled Composites who was killed during a 2014 test flight of the SpaceShipTwo suborbital spaceplane.
-
E.
Thomas Lownds
Thomas Lownds was an 18th-century London publisher best known for issuing the first edition of Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2f054c819093fbe173c8a4a544 |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7940748819086a70246e90b6f91 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba7fee49481909915675cd5b21df2 |
completed | May 18, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba8ac6b008190bf0441b47af7d93b |
completed | May 19, 2026, 12:02 a.m. |
Created at: April 16, 2026, 8:47 p.m.