Triple
T15355784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lego Bionicle |
E367166
|
entity |
| Predicate | themeOf |
P380
|
FINISHED |
| Object |
Matoran
Matoran are the small, mask-wearing biomechanical villagers of the LEGO Bionicle universe, known as the primary inhabitants and workers of its various islands and cities.
|
E1153436
|
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: Matoran | Statement: [Lego Bionicle, themeOf, Matoran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matoran Context triple: [Lego Bionicle, themeOf, Matoran]
-
A.
Toa
Toa are heroic elemental warriors central to the Lego Bionicle storyline, known for protecting the Matoran and battling evil forces in their universe.
-
B.
Biliu and Makuta
Biliu and Makuta are traditional ceremonial garments of the Gorontalo people of Indonesia, typically worn during important cultural and social events.
-
C.
Turaga
Turaga are the wise elder leaders in the Lego Bionicle universe, guiding the Matoran and Toa with knowledge and experience.
-
D.
Mator
Mator is an extinct Samoyedic language once spoken in parts of Siberia.
-
E.
Gorons
Gorons are a recurring rock-eating, mountain-dwelling race of large, strong, and generally friendly humanoid creatures in The Legend of Zelda series.
- 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: Matoran Triple: [Lego Bionicle, themeOf, Matoran]
Generated description
Matoran are the small, mask-wearing biomechanical villagers of the LEGO Bionicle universe, known as the primary inhabitants and workers of its various islands and cities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matoran Target entity description: Matoran are the small, mask-wearing biomechanical villagers of the LEGO Bionicle universe, known as the primary inhabitants and workers of its various islands and cities.
-
A.
Toa
Toa are heroic elemental warriors central to the Lego Bionicle storyline, known for protecting the Matoran and battling evil forces in their universe.
-
B.
Biliu and Makuta
Biliu and Makuta are traditional ceremonial garments of the Gorontalo people of Indonesia, typically worn during important cultural and social events.
-
C.
Turaga
Turaga are the wise elder leaders in the Lego Bionicle universe, guiding the Matoran and Toa with knowledge and experience.
-
D.
Mator
Mator is an extinct Samoyedic language once spoken in parts of Siberia.
-
E.
Gorons
Gorons are a recurring rock-eating, mountain-dwelling race of large, strong, and generally friendly humanoid creatures in The Legend of Zelda series.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b45e3048190a7fa62ead6916fed |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0f400ec08190961c63f957efe107 |
completed | May 9, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0fbef36081908a0f6317a32f9c28 |
completed | May 9, 2026, 10:43 a.m. |
Created at: April 10, 2026, 3:18 a.m.