Triple

T8890116
Position Surface form Disambiguated ID Type / Status
Subject Sam Asghari E211640 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: [Sam Asghari, notableWork, Hacks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hacks
Context triple: [Sam Asghari, 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. 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc619188508190aacda410f0b4c98d completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabf01d048190bed52b5b001d7ffa completed April 3, 2026, noon
Created at: March 30, 2026, 6:53 p.m.