Triple
T16850333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lego Ninjago Movie |
E409656
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Zane
Zane is a stoic, ice-powered ninja and nindroid from the Lego Ninjago franchise, known for his calm demeanor, logical mind, and self-sacrificing heroism.
|
E1236486
|
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: Zane | Statement: [The Lego Ninjago Movie, mainCharacter, Zane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zane Context triple: [The Lego Ninjago Movie, mainCharacter, Zane]
-
A.
Zane
Zane is a bestselling American author known for her provocative erotic fiction and relationship-focused novels.
-
B.
Zane
Zane is a masculine given name of various origins, often considered a variant of John or a surname-turned-first-name in English-speaking countries.
-
C.
Zane Frazier
Zane Frazier is an American kickboxer and mixed martial artist known as one of the early competitors in the Ultimate Fighting Championship.
-
D.
Zack
Zack is a central character in Guy Ritchie's 2005 crime thriller film "Revolver," involved in the movie's intricate web of cons, psychological manipulation, and underworld dealings.
-
E.
Zach
Zach is a fictional character played by American actor Charlie Tahan, known for his roles in film and television.
- 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: Zane Triple: [The Lego Ninjago Movie, mainCharacter, Zane]
Generated description
Zane is a stoic, ice-powered ninja and nindroid from the Lego Ninjago franchise, known for his calm demeanor, logical mind, and self-sacrificing heroism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zane Target entity description: Zane is a stoic, ice-powered ninja and nindroid from the Lego Ninjago franchise, known for his calm demeanor, logical mind, and self-sacrificing heroism.
-
A.
Zane
Zane is a masculine given name of various origins, often considered a variant of John or a surname-turned-first-name in English-speaking countries.
-
B.
Zane
Zane is a bestselling American author known for her provocative erotic fiction and relationship-focused novels.
-
C.
Zane Frazier
Zane Frazier is an American kickboxer and mixed martial artist known as one of the early competitors in the Ultimate Fighting Championship.
-
D.
Zack
Zack is a central character in Guy Ritchie's 2005 crime thriller film "Revolver," involved in the movie's intricate web of cons, psychological manipulation, and underworld dealings.
-
E.
Zach
Zach is a fictional character played by American actor Charlie Tahan, known for his roles in film and television.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b378dda48190ab81d75f2cfe3ab3 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1f02648190937c692af83843dc |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbc80d54819092de4ee363508b49 |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc66dbc08190bd569ed2b355c99d |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.