Triple

T11250212
Position Surface form Disambiguated ID Type / Status
Subject Commander Keen E266304 entity
Predicate publisher P29 FINISHED
Object Apogee Software E914218 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: Apogee Software | Statement: [Commander Keen, publisher, Apogee Software]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apogee Software
Context triple: [Commander Keen, publisher, Apogee Software]
  • A. Apogee Software chosen
    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.
  • B. Apogee, Inc.
    Apogee, Inc. is a visual effects company established by Academy Award–winning special effects artist John Dykstra, known for its pioneering work in film visual effects.
  • C. Avalanche Software
    Avalanche Software is an American video game development studio best known for creating titles such as Disney Infinity and Hogwarts Legacy.
  • D. Steinberg
    Steinberg is a German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as music, art, business, and politics.
  • E. Steinberg
    Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e93212448190b46b3799b0bdfa0f completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f40019588190864c59e8451e80bd completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:31 p.m.