Triple
T15731966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mitchells vs. the Machines |
E381366
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Mike Lasker
Mike Lasker is a visual effects supervisor and cinematographer known for his work on the animated film "The Mitchells vs. the Machines."
|
E1174489
|
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: Mike Lasker | Statement: [The Mitchells vs. the Machines, cinematographyBy, Mike Lasker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Lasker Context triple: [The Mitchells vs. the Machines, cinematographyBy, Mike Lasker]
-
A.
Alex Lasker
Alex Lasker is a screenwriter best known for co-writing the military action film "Tears of the Sun."
-
B.
Michael Brickler
Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
-
C.
Frank Palko
Frank Palko was the criminal defendant at the center of the landmark U.S. Supreme Court case Palko v. Connecticut, which shaped the doctrine of selective incorporation of Bill of Rights protections to the states.
-
D.
Milt Kushner
Milt Kushner is an individual notable enough to be recognized as a prominent bearer of the surname Kushner.
-
E.
Michael Peyser
Michael Peyser is an American film and television producer known for his work on a variety of studio and independent projects.
- 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: Mike Lasker Triple: [The Mitchells vs. the Machines, cinematographyBy, Mike Lasker]
Generated description
Mike Lasker is a visual effects supervisor and cinematographer known for his work on the animated film "The Mitchells vs. the Machines."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Lasker Target entity description: Mike Lasker is a visual effects supervisor and cinematographer known for his work on the animated film "The Mitchells vs. the Machines."
-
A.
Alex Lasker
Alex Lasker is a screenwriter best known for co-writing the military action film "Tears of the Sun."
-
B.
Michael Brickler
Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
-
C.
Frank Palko
Frank Palko was the criminal defendant at the center of the landmark U.S. Supreme Court case Palko v. Connecticut, which shaped the doctrine of selective incorporation of Bill of Rights protections to the states.
-
D.
Milt Kushner
Milt Kushner is an individual notable enough to be recognized as a prominent bearer of the surname Kushner.
-
E.
Michael Peyser
Michael Peyser is an American film and television producer known for his work on a variety of studio and independent projects.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fed7888190b45f28ac91e0079e |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83b7a534819090e24491579376c3 |
completed | May 9, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff844fa00c8190a47eb46394db097b |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 4:46 a.m.