Triple
T11328748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Train Your Dragon (film series) |
E268290
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Toothless
Toothless is the intelligent and loyal Night Fury dragon who forms a deep bond with Viking boy Hiccup in the How to Train Your Dragon franchise.
|
E919411
|
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: Toothless | Statement: [How to Train Your Dragon (film series), mainCharacter, Toothless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toothless Context triple: [How to Train Your Dragon (film series), mainCharacter, Toothless]
-
A.
Toothless
Toothless is a 1997 family fantasy television film about a work-focused dentist who dies, becomes the Tooth Fairy, and learns the value of compassion and human connection.
-
B.
Blaze the Dragon
Blaze the Dragon is the fiery dragon mascot representing the University of Alabama at Birmingham’s athletic teams.
-
C.
Volans
Volans is a small southern sky constellation representing a flying fish, located near the Large Magellanic Cloud.
-
D.
Digger
Digger was the nickname of Al Cervi, a Hall of Fame American professional basketball player and coach known for his tough, hard-nosed style of play in the early NBA.
-
E.
Digger
Digger is the central character of the play "The Hasty Heart," around whom the story’s emotional and dramatic developments revolve.
- 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: Toothless Triple: [How to Train Your Dragon (film series), mainCharacter, Toothless]
Generated description
Toothless is the intelligent and loyal Night Fury dragon who forms a deep bond with Viking boy Hiccup in the How to Train Your Dragon franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toothless Target entity description: Toothless is the intelligent and loyal Night Fury dragon who forms a deep bond with Viking boy Hiccup in the How to Train Your Dragon franchise.
-
A.
Toothless
Toothless is a 1997 family fantasy television film about a work-focused dentist who dies, becomes the Tooth Fairy, and learns the value of compassion and human connection.
-
B.
Blaze the Dragon
Blaze the Dragon is the fiery dragon mascot representing the University of Alabama at Birmingham’s athletic teams.
-
C.
Volans
Volans is a small southern sky constellation representing a flying fish, located near the Large Magellanic Cloud.
-
D.
Digger
Digger was the nickname of Al Cervi, a Hall of Fame American professional basketball player and coach known for his tough, hard-nosed style of play in the early NBA.
-
E.
Digger
Digger is the central character of the play "The Hasty Heart," around whom the story’s emotional and dramatic developments revolve.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5261770ac8190b8fc7e2099aa8ace |
completed | April 19, 2026, 6:59 p.m. |
| NEDg | Description generation | batch_69e52c83768c819086ebfd870ad81998 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531c2a4b88190bb1efd57536bae9a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.