Triple
T13259302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Neveldine |
E315745
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gamer |
E708969
|
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: Gamer | Statement: [Mark Neveldine, notableWork, Gamer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamer Context triple: [Mark Neveldine, notableWork, Gamer]
-
A.
Gamer
chosen
Gamer is a 2009 science fiction action film in which Gerard Butler plays a death-row inmate forced to fight in a deadly real-life video game controlled by players.
-
B.
Home Game
Home Game is a non-fiction book by former NHL goaltender and author Ken Dryden that reflects on the culture, meaning, and personal impact of hockey in Canada.
-
C.
Game Freak
Game Freak is a Japanese video game developer best known as the primary creator of the Pokémon franchise.
-
D.
Republic of Gamers
Republic of Gamers is ASUS’s premium gaming-focused hardware brand known for high-performance laptops, desktops, components, and peripherals designed for enthusiasts and esports players.
-
E.
Players
Players is a 1977 novel by Don DeLillo that follows a disaffected Wall Street couple whose lives become entangled with a terrorist conspiracy, exploring themes of alienation, media, and modern urban life.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a444b4c8190a5dd95460ac96cc7 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:25 p.m.