Triple
T8412655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Axe |
E198659
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Ax Battler
Ax Battler is a heroic barbarian warrior and one of the main playable protagonists in Sega’s Golden Axe fantasy beat ’em up video game series.
|
E732839
|
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: Ax Battler | Statement: [Golden Axe, notableCharacter, Ax Battler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ax Battler Context triple: [Golden Axe, notableCharacter, Ax Battler]
-
A.
Makoto
Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
-
B.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
C.
Hayato
Hayato is a masculine Japanese given name commonly used for boys and borne by various notable figures in politics, sports, and entertainment.
-
D.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
-
E.
Nagato
Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
- 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: Ax Battler Triple: [Golden Axe, notableCharacter, Ax Battler]
Generated description
Ax Battler is a heroic barbarian warrior and one of the main playable protagonists in Sega’s Golden Axe fantasy beat ’em up video game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ax Battler Target entity description: Ax Battler is a heroic barbarian warrior and one of the main playable protagonists in Sega’s Golden Axe fantasy beat ’em up video game series.
-
A.
Makoto
Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
-
B.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
C.
Hayato
Hayato is a masculine Japanese given name commonly used for boys and borne by various notable figures in politics, sports, and entertainment.
-
D.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
-
E.
Nagato
Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0322d1448190aceaf7486c110ff7 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0781859c8190bb92f41c00af459b |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce089d09c08190ba321aed4044a862 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:06 p.m.