Triple

T8679915
Position Surface form Disambiguated ID Type / Status
Subject Battle of Sydney E206010 entity
Predicate hasParticipantType P2434 FINISHED
Object Jaeger
Jaegers are giant humanoid combat mechs piloted by humans to fight colossal monsters in the Pacific Rim universe.
 E699793 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: Jaeger | Statement: [Battle of Sydney, hasParticipantType, Jaeger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jaeger
Context triple: [Battle of Sydney, hasParticipantType, Jaeger]
  • A. Jaeger
    Jaeger is an open-source, cloud-native distributed tracing system used to monitor and troubleshoot complex microservices-based applications.
  • B. Mako
    Mako was a Japanese-American actor and voice actor known for his distinctive voice and roles in films like "Conan the Barbarian" and as the voice of Iroh in "Avatar: The Last Airbender."
  • C. Mako
    Mako is a Japanese imperial family member best known as Princess Mako of Akishino, the former princess who left royal status upon her marriage to a commoner.
  • D. Mako
    Mako is the nickname of Benjamin Mako Hill, a prominent free software activist, scholar, and developer involved with projects like Debian and Wikimedia.
  • E. Mako
    Mako is a central firebending protagonist in *The Legend of Korra*, known for his serious demeanor, leadership in Team Avatar, and complex romantic relationships.
  • 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: Jaeger
Triple: [Battle of Sydney, hasParticipantType, Jaeger]
Generated description
Jaegers are giant humanoid combat mechs piloted by humans to fight colossal monsters in the Pacific Rim universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jaeger
Target entity description: Jaegers are giant humanoid combat mechs piloted by humans to fight colossal monsters in the Pacific Rim universe.
  • A. Jaeger chosen
    Jaeger is an open-source, cloud-native distributed tracing system used to monitor and troubleshoot complex microservices-based applications.
  • B. Mako
    Mako was a Japanese-American actor and voice actor known for his distinctive voice and roles in films like "Conan the Barbarian" and as the voice of Iroh in "Avatar: The Last Airbender."
  • C. Mako
    Mako is a Japanese imperial family member best known as Princess Mako of Akishino, the former princess who left royal status upon her marriage to a commoner.
  • D. Mako
    Mako is the nickname of Benjamin Mako Hill, a prominent free software activist, scholar, and developer involved with projects like Debian and Wikimedia.
  • E. Mako
    Mako is a central firebending protagonist in *The Legend of Korra*, known for his serious demeanor, leadership in Team Avatar, and complex romantic relationships.
  • F. None of above.

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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49fa6040819084cb3fe09cd0f109 completed March 31, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b2be2081908a8744b77c4753f2 completed April 2, 2026, 10:54 p.m.
NEDg Description generation batch_69cef52000048190bc5451cfb6446ced completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef809df548190b4f9ecc709b3b065 completed April 2, 2026, 11:13 p.m.
Created at: March 30, 2026, 6:32 p.m.