Triple
T21836312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Redford |
E539127
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mark Mann
Mark Mann is a filmmaker and photographer known in part for his marriage to actress and director Amy Redford.
|
E1503958
|
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: Mark Mann | Statement: [Amy Redford, spouse, Mark Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Mann Context triple: [Amy Redford, spouse, Mark Mann]
-
A.
Bill Manning
Bill Manning is an American sports executive best known for serving as president of Major League Soccer clubs, including Toronto FC and previously Real Salt Lake.
-
B.
James Maness
James Maness is a local American politician who has served as the mayor of Mt. Juliet, Tennessee.
-
C.
Jim Mullen
Jim Mullen is a Scottish jazz guitarist renowned for his soulful, groove-oriented playing and collaborations with leading British jazz and fusion artists.
-
D.
Don Gehman
Don Gehman is an American record producer best known for his work with artists like John Mellencamp, R.E.M., and Hootie & the Blowfish, helping shape the sound of 1980s and 1990s rock.
-
E.
Andrew Mittman
Andrew Mittman is a television and film producer known for his executive production work on series such as the Netflix show "Wednesday."
- 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: Mark Mann Triple: [Amy Redford, spouse, Mark Mann]
Generated description
Mark Mann is a filmmaker and photographer known in part for his marriage to actress and director Amy Redford.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Mann Target entity description: Mark Mann is a filmmaker and photographer known in part for his marriage to actress and director Amy Redford.
-
A.
Bill Manning
Bill Manning is an American sports executive best known for serving as president of Major League Soccer clubs, including Toronto FC and previously Real Salt Lake.
-
B.
James Maness
James Maness is a local American politician who has served as the mayor of Mt. Juliet, Tennessee.
-
C.
Jim Mullen
Jim Mullen is a Scottish jazz guitarist renowned for his soulful, groove-oriented playing and collaborations with leading British jazz and fusion artists.
-
D.
Don Gehman
Don Gehman is an American record producer best known for his work with artists like John Mellencamp, R.E.M., and Hootie & the Blowfish, helping shape the sound of 1980s and 1990s rock.
-
E.
Andrew Mittman
Andrew Mittman is a television and film producer known for his executive production work on series such as the Netflix show "Wednesday."
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a7c368819094e0c4548be30798 |
completed | April 28, 2026, 12:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45ef0edc819081b1dcd1225bd6d7 |
completed | May 17, 2026, 10:49 p.m. |
| NEDg | Description generation | batch_6a0a470429148190ad08fd983d6288cc |
completed | May 17, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a47cca1c0819081d48d680f32f424 |
completed | May 17, 2026, 10:57 p.m. |
Created at: April 16, 2026, 6:55 p.m.