Triple

T15627498
Position Surface form Disambiguated ID Type / Status
Subject Ben Salisbury E375718 entity
Predicate notableWork P4 FINISHED
Object Free Fire (score) 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 (score) | Statement: [Ben Salisbury, notableWork, Free Fire (score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Free Fire (score)
Context triple: [Ben Salisbury, notableWork, Free Fire (score)]
  • 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. JioGames
    JioGames is Reliance Jio’s online gaming platform offering cloud gaming, casual games, and esports content to users across its digital ecosystem.
  • 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. Sky Player
    Sky Player was the earlier online television streaming service from Sky in the UK, later rebranded as Sky Go.
  • E. Skillz
    Skillz is an American rapper known for his sharp lyricism and storytelling, particularly recognized for his "Rap Up" year-in-review songs.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb4301881908c7157227fdf79b6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f43191c81908c5704314a002608 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.