Triple
T4429638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamera |
E95292
|
entity |
| Predicate | notableEnemy |
P11706
|
FINISHED |
| Object |
Barugon
Barugon is a giant kaiju from the Gamera film series, known for its lizard-like appearance and deadly freezing and rainbow-beam abilities.
|
E440881
|
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: Barugon | Statement: [Gamera, notableEnemy, Barugon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barugon Context triple: [Gamera, notableEnemy, Barugon]
-
A.
Boorga
Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
-
B.
Thargelion
Thargelion was a spring month in the ancient Attic calendar, roughly corresponding to parts of May and June in the modern Gregorian calendar.
-
C.
Garagay
Garagay is an important archaeological site in Peru known for its Early Horizon ceremonial architecture and elaborate polychrome friezes associated with early Andean religious traditions.
-
D.
Shogran
Shogran is a scenic hill station and tourist resort in Pakistan’s Kaghan Valley, known for its lush meadows, cool climate, and panoramic mountain views.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- 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: Barugon Triple: [Gamera, notableEnemy, Barugon]
Generated description
Barugon is a giant kaiju from the Gamera film series, known for its lizard-like appearance and deadly freezing and rainbow-beam abilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barugon Target entity description: Barugon is a giant kaiju from the Gamera film series, known for its lizard-like appearance and deadly freezing and rainbow-beam abilities.
-
A.
Boorga
Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
-
B.
Thargelion
Thargelion was a spring month in the ancient Attic calendar, roughly corresponding to parts of May and June in the modern Gregorian calendar.
-
C.
Garagay
Garagay is an important archaeological site in Peru known for its Early Horizon ceremonial architecture and elaborate polychrome friezes associated with early Andean religious traditions.
-
D.
Shogran
Shogran is a scenic hill station and tourist resort in Pakistan’s Kaghan Valley, known for its lush meadows, cool climate, and panoramic mountain views.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35569b3388190bdef2568f5dc04ce |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136caa248190a84423cede1908c3 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b617c13d4481909d22d201ce405d3a |
completed | March 15, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6187687f8819084e2d611e9e31f79 |
completed | March 15, 2026, 2:24 a.m. |
Created at: March 12, 2026, 11:30 p.m.