Triple
T3298337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Hero 6 |
E69269
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Rob Dressel
Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
|
E347470
|
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: Rob Dressel | Statement: [Big Hero 6, cinematographyBy, Rob Dressel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Dressel Context triple: [Big Hero 6, cinematographyBy, Rob Dressel]
-
A.
Jon Ledecky
Jon Ledecky is an American businessman and investor best known as a co-owner of the NHL’s New York Islanders.
-
B.
Mark Spitz
Mark Spitz is an American former competitive swimmer who became legendary for winning seven gold medals at the 1972 Munich Olympics, a record at the time.
-
C.
Michael Phelps
Michael Phelps is an American swimmer widely regarded as the most decorated Olympian of all time, known for his record-breaking medal haul and dominance in multiple Olympic Games.
-
D.
Jordan Krause
Jordan Krause is a film producer known for working on the documentary "Love, Antosha," which explores the life and legacy of actor Anton Yelchin.
-
E.
Mitch Seavey
Mitch Seavey is an American dog musher best known as a multiple-time Iditarod Trail Sled Dog Race champion from Alaska.
- 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: Rob Dressel Triple: [Big Hero 6, cinematographyBy, Rob Dressel]
Generated description
Rob Dressel 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: Rob Dressel Target entity description: Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
-
A.
Jon Ledecky
Jon Ledecky is an American businessman and investor best known as a co-owner of the NHL’s New York Islanders.
-
B.
Mark Spitz
Mark Spitz is an American former competitive swimmer who became legendary for winning seven gold medals at the 1972 Munich Olympics, a record at the time.
-
C.
Michael Phelps
Michael Phelps is an American swimmer widely regarded as the most decorated Olympian of all time, known for his record-breaking medal haul and dominance in multiple Olympic Games.
-
D.
Jordan Krause
Jordan Krause is a film producer known for working on the documentary "Love, Antosha," which explores the life and legacy of actor Anton Yelchin.
-
E.
Mitch Seavey
Mitch Seavey is an American dog musher best known as a multiple-time Iditarod Trail Sled Dog Race champion from Alaska.
- 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.