Triple
T5101202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For All Mankind |
E114983
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
|
E526650
|
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: Matt Wolpert | Statement: [For All Mankind, creator, Matt Wolpert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Wolpert Context triple: [For All Mankind, creator, Matt Wolpert]
-
A.
Justin Wilkes
Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
-
B.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
E.
Matt Luber
Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
- 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: Matt Wolpert Triple: [For All Mankind, creator, Matt Wolpert]
Generated description
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Wolpert Target entity description: Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
-
A.
Justin Wilkes
Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
-
B.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
E.
Matt Luber
Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7584ed408190a6d1086588f24faa |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc41ee0488190a399f2a54a625c23 |
completed | March 22, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_69bfc4b43ea08190ba63ffa5d56fa49f |
completed | March 22, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfc51f55e48190b7fc54644415e80f |
completed | March 22, 2026, 10:31 a.m. |
Created at: March 20, 2026, 1:40 p.m.