Triple

T10468941
Position Surface form Disambiguated ID Type / Status
Subject Information Society E246875 entity
Predicate hasNotableWork P4 FINISHED
Object Hack E184254 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: Hack | Statement: [Information Society, hasNotableWork, Hack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hack
Context triple: [Information Society, hasNotableWork, Hack]
  • A. Hack chosen
    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.
  • B. 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.
  • C. Hack
    Hack was the nickname of Hack Wilson, a legendary American Major League Baseball slugger best known for his record-setting 191 RBIs in the 1930 season.
  • D. Hacks
    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.
  • E. Hackers
    Hackers is a 1995 cult classic cyberpunk film about teenage computer prodigies who uncover a corporate conspiracy while navigating early internet culture.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092ef810819093a4d1df83aeac09 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ffdfd988190a37b3444d096e678 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.