Triple

T25267180

Position	Surface form	Disambiguated ID	Type / Status
Subject	Barry Leitch	`E633461`	entity
Predicate	composedForGame	`P160910`	FINISHED
Object	Gauntlet Legends Gauntlet Legends is an arcade-style hack-and-slash action game where players battle through fantasy-themed levels in cooperative multiplayer combat.	`E914278`	NE FINISHED

How this triple was built (3 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: Gauntlet Legends | Statement: [Barry Leitch, composedForGame, Gauntlet Legends]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Gauntlet Legends
Triple: [Barry Leitch, composedForGame, Gauntlet Legends]

Generated description

Gauntlet Legends is an arcade-style hack-and-slash action game where players battle through fantasy-themed levels in cooperative multiplayer combat.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: composedForGame
Context triple: [Barry Leitch, composedForGame, Gauntlet Legends]

A. composedForGame chosen
Indicates that a piece of music was specifically created to be used in a game.
B. composedFor
Indicates that a creative work (typically a piece of music) was specifically written or created for a particular person, group, event, or purpose.
C. composedTo
Indicates that one entity created or authored another entity, typically a work such as a piece of music, writing, or art.
D. composedIn
Indicates that a creative work was written or musically composed within a particular place or during a specific time period.
E. compositionFrom
Indicates that something is formed or made up from specified constituent parts or materials.
F. None of above.

Provenance (6 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_69e75a92f48881909974ff9c11150a2e`	completed	April 21, 2026, 11:08 a.m.
NER	Named-entity recognition	`batch_69f62d89b89c8190afb372a8172111e7`	completed	May 2, 2026, 4:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1067f68884819083d5cb31d772ad68`	completed	May 22, 2026, 2:28 p.m.
NEDg	Description generation	`batch_6a1069a68cf08190bbd6f09eed52f42e`	completed	May 22, 2026, 2:35 p.m.
NED2	Entity disambiguation (via description)	`batch_6a106a0c2d7881908ca2ada25da19784`	completed	May 22, 2026, 2:37 p.m.
PD	Predicate disambiguation	`batch_69f62c1379f08190836c3e02b0c892df`	completed	May 2, 2026, 4:53 p.m.

Created at: April 21, 2026, 1:16 p.m.