Triple

T15999215
Position Surface form Disambiguated ID Type / Status
Subject NFL 2K E388052 entity
Predicate hasPart P35 FINISHED
Object NFL 2K (1999 video game) E388052 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: NFL 2K (1999 video game) | Statement: [NFL 2K, hasPart, NFL 2K (1999 video game)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFL 2K (1999 video game)
Context triple: [NFL 2K, hasPart, NFL 2K (1999 video game)]
  • A. NFL 2K chosen
    NFL 2K is a critically acclaimed American football video game series known for its realistic gameplay and as a major competitor to EA Sports' Madden NFL franchise in the early 2000s.
  • B. Madden NFL Arcade
    Madden NFL Arcade is a simplified, fast-paced, and over-the-top arcade-style American football video game based on the Madden NFL franchise.
  • C. John Madden Football
    John Madden Football is the original American football video game that launched the long-running Madden NFL franchise.
  • D. Madden NFL Superstars
    Madden NFL Superstars is a social-network-based American football video game that brought the Madden NFL franchise to platforms like Facebook, developed by Playfish.
  • E. Madden
    Madden is a Scottish surname most prominently associated with actor Richard Madden, known for his roles in "Game of Thrones" and various film and television productions.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1578a0adc819097c6a23514182173 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d99ca08190a3d07a0802b1b24a completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.