Triple
T1788470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers: Infinity War |
E39441
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Matthew Schmidt
Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
|
E239842
|
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: Matthew Schmidt | Statement: [Avengers: Infinity War, editor, Matthew Schmidt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Schmidt Context triple: [Avengers: Infinity War, editor, Matthew Schmidt]
-
A.
Mark Rosenberg
Mark Rosenberg was an American film producer known for his work on notable movies of the 1980s and early 1990s.
-
B.
Adam Schroeder
Adam Schroeder is a film producer best known for his work on major Hollywood features, including Tim Burton’s gothic horror film "Sleepy Hollow" (1999).
-
C.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
-
D.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
E.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
- 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: Matthew Schmidt Triple: [Avengers: Infinity War, editor, Matthew Schmidt]
Generated description
Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Schmidt Target entity description: Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
-
A.
Mark Rosenberg
Mark Rosenberg was an American film producer known for his work on notable movies of the 1980s and early 1990s.
-
B.
Adam Schroeder
Adam Schroeder is a film producer best known for his work on major Hollywood features, including Tim Burton’s gothic horror film "Sleepy Hollow" (1999).
-
C.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
-
D.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
E.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650fd3448190a6a2c979db982cae |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58b4c9ac8190b9b54dc08f9440bf |
completed | March 9, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_69ae599c6b288190b7e173ffc505c605 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a42675c8190a019034e8a6bda21 |
completed | March 9, 2026, 5:27 a.m. |
Created at: March 4, 2026, 7:32 p.m.