Triple
T11144893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Feet Two |
E263643
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Sven
Sven is a charismatic puffin in the animated film "Happy Feet Two," admired by other characters for his apparent ability to fly and his inspirational persona.
|
E906720
|
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: Sven | Statement: [Happy Feet Two, mainCharacter, Sven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sven Context triple: [Happy Feet Two, mainCharacter, Sven]
-
A.
Sven
Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
-
B.
Johan
Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
-
C.
Johan
Johan is the given first name of the Swedish playwright and novelist August Strindberg.
-
D.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
E.
Sven Berg
Sven Berg is an architect best known for his work on the design of the Oklahoma City National Memorial.
- 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: Sven Triple: [Happy Feet Two, mainCharacter, Sven]
Generated description
Sven is a charismatic puffin in the animated film "Happy Feet Two," admired by other characters for his apparent ability to fly and his inspirational persona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sven Target entity description: Sven is a charismatic puffin in the animated film "Happy Feet Two," admired by other characters for his apparent ability to fly and his inspirational persona.
-
A.
Sven
Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
-
B.
Johan
Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
-
C.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
D.
Johan
Johan is the given first name of the Swedish playwright and novelist August Strindberg.
-
E.
Sven Berg
Sven Berg is an architect best known for his work on the design of the Oklahoma City National Memorial.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8634d5481909b114d30a542ea3f |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4421d35f48190a5905fbab39f4015 |
completed | April 19, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69e44c09dd5c8190bddf3dd109a639ba |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4513731fc8190be0bae62d1e16e6f |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 8, 2026, 9:28 p.m.