Triple
T15355790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lego Bionicle |
E367166
|
entity |
| Predicate | themeOf |
P380
|
FINISHED |
| Object |
Visorak
Visorak are a species of spider-like, bio-mechanical Rahi creatures in the Bionicle universe known for their conquest-driven swarms and ability to mutate other beings with their venom.
|
E1151146
|
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: Visorak | Statement: [Lego Bionicle, themeOf, Visorak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visorak Context triple: [Lego Bionicle, themeOf, Visorak]
-
A.
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
B.
Horriwil
Horriwil is a small Swiss municipality located in the canton of Solothurn.
-
C.
Thargelion
Thargelion was a spring month in the ancient Attic calendar, roughly corresponding to parts of May and June in the modern Gregorian calendar.
-
D.
Thargelion
Thargelion is a region in J.R.R. Tolkien’s Middle-earth, located in eastern Beleriand and associated with the realm of the Elf-lord Caranthir.
-
E.
Barugon
Barugon is a giant kaiju from the Gamera film series, known for its lizard-like appearance and deadly freezing and rainbow-beam abilities.
- 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: Visorak Triple: [Lego Bionicle, themeOf, Visorak]
Generated description
Visorak are a species of spider-like, bio-mechanical Rahi creatures in the Bionicle universe known for their conquest-driven swarms and ability to mutate other beings with their venom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Visorak Target entity description: Visorak are a species of spider-like, bio-mechanical Rahi creatures in the Bionicle universe known for their conquest-driven swarms and ability to mutate other beings with their venom.
-
A.
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
B.
Horriwil
Horriwil is a small Swiss municipality located in the canton of Solothurn.
-
C.
Thargelion
Thargelion was a spring month in the ancient Attic calendar, roughly corresponding to parts of May and June in the modern Gregorian calendar.
-
D.
Thargelion
Thargelion is a region in J.R.R. Tolkien’s Middle-earth, located in eastern Beleriand and associated with the realm of the Elf-lord Caranthir.
-
E.
Barugon
Barugon is a giant kaiju from the Gamera film series, known for its lizard-like appearance and deadly freezing and rainbow-beam abilities.
- 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_69ff02012fa48190a108f1ca710ffb15 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff02d0d0188190b6414a52bf8e6e54 |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff037ddf1c8190b7c93c1b3edf33e8 |
completed | May 9, 2026, 9:50 a.m. |
Created at: April 10, 2026, 3:18 a.m.