Triple

T34873628

Position	Surface form	Disambiguated ID	Type / Status
Subject	World Chess Championship 2006	`E1005818`	entity
Predicate	arbiter	`P56185`	FINISHED
Object	Geurt Gijssen Geurt Gijssen is a renowned Dutch international chess arbiter known for officiating numerous top-level events, including multiple World Chess Championships.	`E2165976`	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: Geurt Gijssen | Statement: [World Chess Championship 2006, arbiter, Geurt Gijssen]

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: Geurt Gijssen
Triple: [World Chess Championship 2006, arbiter, Geurt Gijssen]

Generated description

Geurt Gijssen is a renowned Dutch international chess arbiter known for officiating numerous top-level events, including multiple World Chess Championships.

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

Target predicate: arbiter
Context triple: [World Chess Championship 2006, arbiter, Geurt Gijssen]

A. hasArbitrator
Indicates that an entity is assigned or associated with an arbitrator who is responsible for resolving its disputes or conflicts.
B. isFinalArbiterOf
Indicates that one entity has ultimate, authoritative decision-making power over another entity or over a particular matter, with no further appeal beyond that entity.
C. arbitrationAwardedTo
Indicates that, as a result of an arbitration process, a decision or award has been granted in favor of a particular party.
D. divisionArbitratedBy
Indicates that the resolution or allocation of a division (e.g., of assets, responsibilities, or territory) is determined or settled by a specified arbitrating party or authority.
E. decider chosen
Indicates that an entity is the one who makes a choice or decision in a given situation or process.
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_69f76dbde1c08190a24e7f9beb564c8d`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f782f4f10081908f97f6d0d2dbeec7`	completed	May 3, 2026, 5:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38cb72d5c081909e1474ce8977616d`	completed	June 22, 2026, 5:43 a.m.
NEDg	Description generation	`batch_6a38cbf4f8b8819093e023e34c71585b`	completed	June 22, 2026, 5:45 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38cc8927108190977d3dbf2d91f6d2`	completed	June 22, 2026, 5:47 a.m.
PD	Predicate disambiguation	`batch_69f780ff71cc8190a67e71076fbad81a`	completed	May 3, 2026, 5:08 p.m.

Created at: May 3, 2026, 4 p.m.