Triple
T3298351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Hero 6 |
E69269
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Wasabi
Wasabi is a cautious yet skilled member of the superhero team in Disney's animated film "Big Hero 6," known for his precision, laser-based weaponry, and rule-abiding personality.
|
E347476
|
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: Wasabi | Statement: [Big Hero 6, mainCharacter, Wasabi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wasabi Context triple: [Big Hero 6, mainCharacter, Wasabi]
-
A.
Shiso
Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
-
B.
Nori
Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
-
C.
Onnion
Onnion is a small commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
D.
Mustard
Mustard is an American record producer and DJ known for his minimalist, club-oriented West Coast hip hop sound and numerous chart-topping collaborations.
-
E.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
- 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: Wasabi Triple: [Big Hero 6, mainCharacter, Wasabi]
Generated description
Wasabi is a cautious yet skilled member of the superhero team in Disney's animated film "Big Hero 6," known for his precision, laser-based weaponry, and rule-abiding personality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wasabi Target entity description: Wasabi is a cautious yet skilled member of the superhero team in Disney's animated film "Big Hero 6," known for his precision, laser-based weaponry, and rule-abiding personality.
-
A.
Shiso
Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
-
B.
Nori
Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
-
C.
Onnion
Onnion is a small commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
D.
Mustard
Mustard is an American record producer and DJ known for his minimalist, club-oriented West Coast hip hop sound and numerous chart-topping collaborations.
-
E.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
- 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.