Triple

T10919007
Position Surface form Disambiguated ID Type / Status
Subject Jack Reynor E257894 entity
Predicate actedIn P1668 FINISHED
Object Free Fire E746336 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: Free Fire | Statement: [Jack Reynor, actedIn, Free Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Free Fire
Context triple: [Jack Reynor, actedIn, Free Fire]
  • A. Free Fire chosen
    Free Fire is a 2016 British action-comedy film directed by Ben Wheatley, known for its single-location shootout, dark humor, and ensemble cast.
  • B. EA Mobile
    EA Mobile is the mobile gaming division of Electronic Arts, responsible for developing and publishing games for smartphones and tablets.
  • C. Moonton
    Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
  • D. Fortnite
    Fortnite is a massively popular online battle royale and creative-building video game developed by Epic Games, known for its fast-paced matches, frequent content updates, and widespread esports presence.
  • E. Sky Player
    Sky Player was the earlier online television streaming service from Sky in the UK, later rebranded as Sky Go.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77080317881909fc50ac3576cefa8 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bbf70688190be9315a75582dbe2 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:22 p.m.