Triple

T19585100
Position Surface form Disambiguated ID Type / Status
Subject Ataxia E490087 entity
Predicate associatedAct P37 FINISHED
Object Dot Hacker E1385843 NE FINISHED

How this triple was built (2 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: Dot Hacker | Statement: [Ataxia, associatedAct, Dot Hacker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dot Hacker
Context triple: [Ataxia, associatedAct, Dot Hacker]
  • A. Dot Hacker chosen
    Dot Hacker is an American experimental rock band known for its atmospheric soundscapes and for featuring multi-instrumentalist Josh Klinghoffer among its members.
  • B. The Hacker
    The Hacker is a villainous character portrayed by Christopher Lloyd in the educational animated television series "Cyberchase."
  • C. The Hacker
    The Hacker is a French electronic music producer and DJ known for his influential work in electroclash and techno, often in collaboration with Miss Kittin.
  • D. Hackers
    Hackers is a 1995 cult classic cyberpunk film about teenage computer prodigies who uncover a corporate conspiracy while navigating early internet culture.
  • E. The Hacker’s Choice
    The Hacker’s Choice is a well-known security research and hacking collective recognized for creating influential penetration-testing tools and publishing information on network and system vulnerabilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64050127c8190b93b8716a1a4ad81 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771a73b5c81908ccd177a00b4ca05 completed May 15, 2026, 7:19 p.m.
Created at: April 10, 2026, 1:42 p.m.