Triple
T15999217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL 2K |
E388052
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | NFL 2K2 |
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 2K2 | Statement: [NFL 2K, hasPart, NFL 2K2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NFL 2K2 Context triple: [NFL 2K, hasPart, NFL 2K2]
-
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.
NBA 2K
NBA 2K is a long-running basketball video game series that simulates the NBA with realistic gameplay, teams, and players.
-
C.
Madden Ultimate Team
Madden Ultimate Team is a popular game mode in the Madden NFL series where players build and manage custom fantasy-style football teams using collectible player cards.
-
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_69ffdbca65a4819090109589dba7f7a9 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.