Triple

T15999252
Position Surface form Disambiguated ID Type / Status
Subject NFL 2K E388052 entity
Predicate hasSequel P1961 FINISHED
Object NFL 2K3 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 2K3 | Statement: [NFL 2K, hasSequel, NFL 2K3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFL 2K3
Context triple: [NFL 2K, hasSequel, NFL 2K3]
  • 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 10
    Madden NFL 10 is an American football video game in the long-running Madden NFL series, featuring realistic NFL gameplay, licensed teams and players, and various single-player and multiplayer modes.
  • C. 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.
  • 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_69ffcf1edc7c81908fdd0fa00418d7a7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.