Triple

T12060783
Position Surface form Disambiguated ID Type / Status
Subject Alison Lohman E287162 entity
Predicate notableWork P4 FINISHED
Object Gamer E708969 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: Gamer | Statement: [Alison Lohman, notableWork, Gamer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamer
Context triple: [Alison Lohman, notableWork, Gamer]
  • A. Gamer chosen
    Gamer is a 2009 science fiction action film in which Gerard Butler plays a death-row inmate forced to fight in a deadly real-life video game controlled by players.
  • B. Home Game
    Home Game is a non-fiction book by former NHL goaltender and author Ken Dryden that reflects on the culture, meaning, and personal impact of hockey in Canada.
  • C. Game Freak
    Game Freak is a Japanese video game developer best known as the primary creator of the Pokémon franchise.
  • D. Republic of Gamers
    Republic of Gamers is ASUS’s premium gaming-focused hardware brand known for high-performance laptops, desktops, components, and peripherals designed for enthusiasts and esports players.
  • E. Players
    Players is a 1977 novel by Don DeLillo that follows a disaffected Wall Street couple whose lives become entangled with a terrorist conspiracy, exploring themes of alienation, media, and modern urban life.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6532a048190b53f96c9df948dda completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.