Triple

T14135772
Position Surface form Disambiguated ID Type / Status
Subject Nokia 8210 E350289 entity
Predicate preinstalledGame P8873 FINISHED
Object Snake E956256 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: Snake | Statement: [Nokia 8210, preinstalledGame, Snake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snake
Context triple: [Nokia 8210, preinstalledGame, Snake]
  • A. Snake chosen
    Snake is a classic mobile arcade game in which the player guides a growing line to collect items while avoiding collisions with walls and its own tail.
  • B. Snake
    Snake is the central protagonist of the 1993 action film "Airborne," around whom the movie’s primary conflicts and narrative developments revolve.
  • C. Snake
    Snake is a large, spiraling steel sculpture by Richard Serra that forms part of his monumental installation "The Matter of Time" at the Guggenheim Museum Bilbao.
  • D. Snake
    "Snake" is a raw, intense track by PJ Harvey from her critically acclaimed 1993 album "Rid of Me."
  • E. Snake
    "Snake" is a famous poem by D. H. Lawrence that explores a charged encounter between a man and a snake, delving into themes of nature, guilt, and the conflict between instinct and social conditioning.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf14439c81908b2a9999a35cc346 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:13 a.m.