Triple

T37360878

Position	Surface form	Disambiguated ID	Type / Status
Subject	Netherlands 2014 World Cup campaign	`E927572`	entity
Predicate	backupGoalkeeper	`P187774`	FINISHED
Object	Tim Krul Tim Krul is a Dutch professional goalkeeper best known for his dramatic penalty shootout heroics against Costa Rica at the 2014 FIFA World Cup.	`E2225855`	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: Tim Krul | Statement: [Netherlands 2014 World Cup campaign, backupGoalkeeper, Tim Krul]

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: Tim Krul
Triple: [Netherlands 2014 World Cup campaign, backupGoalkeeper, Tim Krul]

Generated description

Tim Krul is a Dutch professional goalkeeper best known for his dramatic penalty shootout heroics against Costa Rica at the 2014 FIFA World Cup.

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

Target predicate: backupGoalkeeper
Context triple: [Netherlands 2014 World Cup campaign, backupGoalkeeper, Tim Krul]

A. goalkeeperAction
Indicates actions performed by a goalkeeper in the context of defending the goal, such as saving, catching, blocking, or distributing the ball.
B. substituteGoalkeeper
Indicates that one goalkeeper is replaced by another goalkeeper during a match.
C. goaltender
Indicates a relationship where an entity serves as the goalkeeper or primary defender of the goal for a team in a game or sport.
D. bestGoalkeeper
Indicates that the subject is considered the top-performing or most skilled goalkeeper among a specified group or context.
E. losingGoaltender
Indicates that a particular goaltender is the one who was in net for the team that lost the game.
F. None of above. chosen

Provenance (7 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_69f76eb701788190b40824bc4594d985`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69fb8c38a9688190be524246f5682107`	completed	May 6, 2026, 6:45 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a4076f2ccb4819083a18b8072981c36`	completed	June 28, 2026, 1:20 a.m.
NEDg	Description generation	`batch_6a4079884de4819083aa67b9c5c9adf6`	completed	June 28, 2026, 1:31 a.m.
NED2	Entity disambiguation (via description)	`batch_6a4079df8aac8190b123ea92b559c196`	completed	June 28, 2026, 1:33 a.m.
PD	Predicate disambiguation	`batch_69fb5a9c6e0481908565bd849e869b24`	completed	May 6, 2026, 3:13 p.m.
PDg	Predicate description generation	`batch_69fb8c37931c81909da038c18ed9add2`	completed	May 6, 2026, 6:45 p.m.

Created at: May 3, 2026, 4:16 p.m.