Triple

T2495810
Position Surface form Disambiguated ID Type / Status
Subject Call of Duty E52150 entity
Predicate developer P73 FINISHED
Object Sledgehammer Games E53261 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: Sledgehammer Games | Statement: [Call of Duty, developer, Sledgehammer Games]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sledgehammer Games
Context triple: [Call of Duty, developer, Sledgehammer Games]
  • A. Sledgehammer Games chosen
    Sledgehammer Games is an American video game development studio best known for co-developing several titles in the Call of Duty franchise.
  • B. ZeniMax Online Studios
    ZeniMax Online Studios is a video game development studio best known for creating the massively multiplayer online role-playing game The Elder Scrolls Online.
  • C. Swordfish Studios
    Swordfish Studios was a British video game development company known for creating titles such as World Championship Rugby and 50 Cent: Blood on the Sand.
  • D. Tango Gameworks
    Tango Gameworks is a Japanese video game development studio best known for creating the survival horror series The Evil Within and the action-adventure game Ghostwire: Tokyo.
  • E. Revolution Studios
    Revolution Studios is an American film production company known for producing mainstream Hollywood movies in the early 2000s.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1abd3688190b5874249e1e333bc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5ce4dc2c8190a1327794ac1d1b15 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:45 p.m.