Triple
T12449752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dragon |
E297498
|
entity |
| Predicate | opposedTo |
P437
|
FINISHED |
| Object |
White Dragon
White Dragon is a powerful, often malevolent draconic creature typically associated with cold, ice, and purity in contrast to its fiery red counterpart.
|
E984602
|
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: White Dragon | Statement: [Red Dragon, opposedTo, White Dragon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Dragon Context triple: [Red Dragon, opposedTo, White Dragon]
-
A.
Dragone
Dragone is an Italian surname most notably associated with Franco Dragone, the renowned theatre director known for his work with Cirque du Soleil and large-scale live productions.
-
B.
Golden Dragon
The Golden Dragon is a prestigious award presented at the Kraków Film Festival, recognizing outstanding achievements in short and documentary filmmaking.
-
C.
Flying Dragon
Flying Dragon is the English translation of the Japanese name "Hiryu," commonly associated with fast, agile characters, vehicles, or entities in Japanese media and games.
-
D.
Green Dragon
Green Dragon is a film for which Canadian composer Jeff Danna created the musical score.
-
E.
Blaze the Dragon
Blaze the Dragon is the fiery dragon mascot representing the University of Alabama at Birmingham’s athletic teams.
- 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: White Dragon Triple: [Red Dragon, opposedTo, White Dragon]
Generated description
White Dragon is a powerful, often malevolent draconic creature typically associated with cold, ice, and purity in contrast to its fiery red counterpart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: White Dragon Target entity description: White Dragon is a powerful, often malevolent draconic creature typically associated with cold, ice, and purity in contrast to its fiery red counterpart.
-
A.
Dragone
Dragone is an Italian surname most notably associated with Franco Dragone, the renowned theatre director known for his work with Cirque du Soleil and large-scale live productions.
-
B.
Golden Dragon
The Golden Dragon is a prestigious award presented at the Kraków Film Festival, recognizing outstanding achievements in short and documentary filmmaking.
-
C.
Flying Dragon
Flying Dragon is the English translation of the Japanese name "Hiryu," commonly associated with fast, agile characters, vehicles, or entities in Japanese media and games.
-
D.
Green Dragon
Green Dragon is a film for which Canadian composer Jeff Danna created the musical score.
-
E.
Blaze the Dragon
Blaze the Dragon is the fiery dragon mascot representing the University of Alabama at Birmingham’s athletic teams.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1501448190b0a95d7cd249ca9d |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f640ef7dd08190bf78d04cffac1a44 |
completed | May 2, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f641ad96fc819097430251a1cd71ff |
completed | May 2, 2026, 6:25 p.m. |
Created at: April 8, 2026, 9:56 p.m.