Triple
T3298338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Hero 6 |
E69269
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Adolph Lusinsky
Adolph Lusinsky is a cinematographer best known for his work on the animated film "Big Hero 6."
|
E347471
|
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: Adolph Lusinsky | Statement: [Big Hero 6, cinematographyBy, Adolph Lusinsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adolph Lusinsky Context triple: [Big Hero 6, cinematographyBy, Adolph Lusinsky]
-
A.
Zacharias Finkelstein
Zacharias Finkelstein was the father of American political scientist and Holocaust scholar Norman Finkelstein.
-
B.
Victor Finkelstein
Victor Finkelstein was a pioneering disability rights activist and theorist who helped shape the social model of disability in the United Kingdom.
-
C.
Louis Bakanowsky
Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
-
D.
Hyman Lachowsky
Hyman Lachowsky was one of the radical activists prosecuted alongside Jacob Abrams in the landmark 1919 U.S. Supreme Court free speech case Abrams v. United States.
-
E.
Adolph Lestina
Adolph Lestina was an American stage and silent film actor active in the early 20th century, known for his character roles in D. W. Griffith productions.
- 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: Adolph Lusinsky Triple: [Big Hero 6, cinematographyBy, Adolph Lusinsky]
Generated description
Adolph Lusinsky is a cinematographer best known for his work on the animated film "Big Hero 6."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adolph Lusinsky Target entity description: Adolph Lusinsky is a cinematographer best known for his work on the animated film "Big Hero 6."
-
A.
Zacharias Finkelstein
Zacharias Finkelstein was the father of American political scientist and Holocaust scholar Norman Finkelstein.
-
B.
Victor Finkelstein
Victor Finkelstein was a pioneering disability rights activist and theorist who helped shape the social model of disability in the United Kingdom.
-
C.
Louis Bakanowsky
Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
-
D.
Hyman Lachowsky
Hyman Lachowsky was one of the radical activists prosecuted alongside Jacob Abrams in the landmark 1919 U.S. Supreme Court free speech case Abrams v. United States.
-
E.
Adolph Lestina
Adolph Lestina was an American stage and silent film actor active in the early 20th century, known for his character roles in D. W. Griffith productions.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a2f4708190821edb9700f62d2f |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3d759908190b1f5170930ff03c5 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2f9ec098c8190aaa763d7b9c5cceb |
completed | March 12, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b316408090819090a4792b3d5185f0 |
completed | March 12, 2026, 7:38 p.m. |
Created at: March 8, 2026, 3:10 p.m.