Triple

T18528192
Position Surface form Disambiguated ID Type / Status
Subject XHP E452771 entity
Predicate programmingLanguage P1592 FINISHED
Object Hack NE NERFINISHED

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: [XHP, programmingLanguage, Hack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hack
Context triple: [XHP, programmingLanguage, Hack]
  • A. 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.
  • B. 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.
  • C. 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.
  • 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. Hacking
    Hacking is a residential district in Vienna’s 13th municipal district, Hietzing, known for its green spaces and villa-style housing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533f9bd1081909743b24e290b7dfe completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.