Triple
T5751829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattel Films |
E126870
|
entity |
| Predicate | basedOnWorks |
P7125
|
FINISHED |
| Object |
Major Matt Mason brand
Major Matt Mason is a classic Mattel toy brand centered on a 1960s astronaut action figure and his space exploration adventures.
|
E543881
|
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: Major Matt Mason brand | Statement: [Mattel Films, basedOnWorks, Major Matt Mason brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Major Matt Mason brand Context triple: [Mattel Films, basedOnWorks, Major Matt Mason brand]
-
A.
Bauer Brothers
Bauer Brothers is a business enterprise that employs Allen Bauer, likely a family-owned company associated with the Bauer family.
-
B.
Matty
Matty is the famous nickname of Christy Mathewson, one of early baseball’s greatest pitchers and a Hall of Famer for the New York Giants.
-
C.
Matty
Matty is a common diminutive or nickname for the given name Matthew.
-
D.
Mackmen
The Mackmen was a nickname for the early 20th-century Philadelphia Athletics baseball team, derived from their legendary manager Connie Mack.
-
E.
Brandt
Brandt is the obsequious personal assistant to the wealthy Jeffrey Lebowski in the cult film "The Big Lebowski," often serving as a nervous intermediary between him and the Dude.
- 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: Major Matt Mason brand Triple: [Mattel Films, basedOnWorks, Major Matt Mason brand]
Generated description
Major Matt Mason is a classic Mattel toy brand centered on a 1960s astronaut action figure and his space exploration adventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Major Matt Mason brand Target entity description: Major Matt Mason is a classic Mattel toy brand centered on a 1960s astronaut action figure and his space exploration adventures.
-
A.
Bauer Brothers
Bauer Brothers is a business enterprise that employs Allen Bauer, likely a family-owned company associated with the Bauer family.
-
B.
Matty
Matty is a common diminutive or nickname for the given name Matthew.
-
C.
Matty
Matty is the famous nickname of Christy Mathewson, one of early baseball’s greatest pitchers and a Hall of Famer for the New York Giants.
-
D.
Mackmen
The Mackmen was a nickname for the early 20th-century Philadelphia Athletics baseball team, derived from their legendary manager Connie Mack.
-
E.
Brandt
Brandt is the obsequious personal assistant to the wealthy Jeffrey Lebowski in the cult film "The Big Lebowski," often serving as a nervous intermediary between him and the Dude.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0335f23c081909b35020801e3ef12 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3a50b88190a943b2d91d3c5b8e |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c0880ef8608190a602c7b9c7f753fb |
completed | March 23, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c088cff95481908a8e04e763269062 |
completed | March 23, 2026, 12:26 a.m. |
Created at: March 22, 2026, 3:48 p.m.