Triple

T15624748
Position Surface form Disambiguated ID Type / Status
Subject Disney Infinity E375651 entity
Predicate developer P73 FINISHED
Object Avalanche Software E504601 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: Avalanche Software | Statement: [Disney Infinity, developer, Avalanche Software]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avalanche Software
Context triple: [Disney Infinity, developer, Avalanche Software]
  • A. Avalanche Software chosen
    Avalanche Software is an American video game development studio best known for creating titles such as Disney Infinity and Hogwarts Legacy.
  • B. Altamira Software
    Altamira Software was a pioneering computer graphics and digital imaging company co-founded by computer graphics visionary Alvy Ray Smith.
  • C. Rockwell Software
    Rockwell Software is a business unit of Rockwell Automation that develops industrial automation and manufacturing execution system (MES) software solutions.
  • D. Apogee Software
    Apogee Software is a pioneering American video game company best known for popularizing the shareware distribution model and launching influential titles in the early 1990s PC gaming era.
  • E. Starfish Software
    Starfish Software was a software company co-founded by tech entrepreneur Philippe Kahn, best known for its work in wireless synchronization and mobile data management solutions in the 1990s.
  • 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_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3f65dc8190ac94db1d4d53d77f completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.