Triple

T6437373
Position Surface form Disambiguated ID Type / Status
Subject Fremulon E129931 entity
Predicate notableWork P4 FINISHED
Object Hacks E310932 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: Hacks | Statement: [Fremulon, notableWork, Hacks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hacks
Context triple: [Fremulon, notableWork, Hacks]
  • A. Hacks chosen
    Hacks is a critically acclaimed American comedy-drama television series that explores the professional and personal relationship between a legendary Las Vegas comedian and a young, struggling comedy writer.
  • B. Hack
    Hack is a programming language developed by Meta (Facebook) that extends PHP with static typing, generics, and other modern features for building large-scale web applications.
  • C. Hack
    "Hack" is a short-lived early-2000s American crime drama television series starring David Morse as a disgraced former police officer who becomes a Philadelphia cab driver while seeking redemption.
  • D. Revenge of the Hackers
    Revenge of the Hackers is an essay by open-source advocate Eric S. Raymond that chronicles the rise of the open-source movement and the cultural shift it brought to the software industry.
  • E. Hacking River
    Hacking River is a waterway in New South Wales, Australia, flowing through the Royal National Park and serving as a popular spot for recreation and nature activities.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06964186c8190aeeb0038f4696032 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640f2915c8190aea3578dcd77dd5f completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:45 p.m.