Triple

T24489912

Position	Surface form	Disambiguated ID	Type / Status
Subject	1999 Pan American Games	`E617612`	entity
Predicate	hostCountryFlagBearer	`P156509`	FINISHED
Object	Marnie McBean Marnie McBean is a Canadian rower and three-time Olympic gold medallist, widely regarded as one of Canada’s most successful and influential athletes.	`E1639051`	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: Marnie McBean | Statement: [1999 Pan American Games, hostCountryFlagBearer, Marnie McBean]

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: Marnie McBean
Triple: [1999 Pan American Games, hostCountryFlagBearer, Marnie McBean]

Generated description

Marnie McBean is a Canadian rower and three-time Olympic gold medallist, widely regarded as one of Canada’s most successful and influential athletes.

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

Target predicate: hostCountryFlagBearer
Context triple: [1999 Pan American Games, hostCountryFlagBearer, Marnie McBean]

A. hostCityFlagBearer
Indicates that the referenced flag bearer is representing the host city (or host nation) for a particular event or ceremony.
B. hasFlagCountry
Indicates that a country is the one whose national flag is associated with or used by a given entity.
C. olympicFlagBearerForHostNation
Indicates that an individual serves as the official flag bearer for the host nation’s delegation at the Olympic Games.
D. nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
E. officialFlagOf
Indicates that one entity is the formally recognized flag that represents another entity (such as a country, organization, or region).
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_69e2d7f4e6bc8190aec540ae3b9ed7f2`	completed	April 18, 2026, 1:01 a.m.
NER	Named-entity recognition	`batch_69f2a9d912e88190bc39c05a9d7f407e`	completed	April 30, 2026, 1:01 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fee80f75c81909fd95b4b75bdd13d`	completed	May 22, 2026, 5:49 a.m.
NEDg	Description generation	`batch_6a0ff03ffa2c81908fe3c321029c784f`	completed	May 22, 2026, 5:57 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0ff10a3f508190bd92090d91a86020`	completed	May 22, 2026, 6 a.m.
PD	Predicate disambiguation	`batch_69f2a6a4580481908fddc385f5262f95`	completed	April 30, 2026, 12:47 a.m.
PDg	Predicate description generation	`batch_69f2a9d795288190916368e3cec1f666`	completed	April 30, 2026, 1:01 a.m.

Created at: April 18, 2026, 2:22 a.m.