Triple
T2440525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sledgehammer Games |
E53261
|
entity |
| Predicate | gameEngineUsed |
P26587
|
FINISHED |
| Object | IW engine |
E266240
|
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: IW engine | Statement: [Sledgehammer Games, gameEngineUsed, IW engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IW engine Context triple: [Sledgehammer Games, gameEngineUsed, IW engine]
-
A.
IW engine
chosen
The IW engine is a proprietary game engine developed by Infinity Ward and used across multiple Call of Duty titles, including those created by Treyarch.
-
B.
BI Engine
BI Engine is an in-memory analysis service for Google BigQuery that accelerates and optimizes interactive business intelligence and dashboard queries.
-
C.
FilmEngine
FilmEngine is an American film production company known for developing and producing feature films such as the crime thriller "Lucky Number Slevin."
-
D.
IAS machine
The IAS machine was an early electronic stored-program computer designed by John von Neumann and his colleagues at the Institute for Advanced Study, serving as a prototype for many subsequent computer architectures.
-
E.
ISWIM
ISWIM is an influential early functional programming language design proposed by Peter Landin that introduced key concepts in lambda calculus–based languages and helped shape later languages like Scheme.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0db08948190b2a9e36aebbcdaa1 |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0b3f7188190911f2db0ef2200cc |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.