Triple

T33951391

Position	Surface form	Disambiguated ID	Type / Status
Subject	women's 100 metres hurdles	`E870449`	entity
Predicate	worldRecordHolderAsOf2024	`P99443`	FINISHED
Object	Tobi Amusan Tobi Amusan is a Nigerian sprint hurdler renowned for breaking the women’s 100 metres hurdles world record and becoming one of Africa’s most accomplished track athletes.	`E2074916`	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: Tobi Amusan | Statement: [women's 100 metres hurdles, worldRecordHolderAsOf2024, Tobi Amusan]

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: Tobi Amusan
Triple: [women's 100 metres hurdles, worldRecordHolderAsOf2024, Tobi Amusan]

Generated description

Tobi Amusan is a Nigerian sprint hurdler renowned for breaking the women’s 100 metres hurdles world record and becoming one of Africa’s most accomplished track athletes.

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

Target predicate: worldRecordHolderAsOf2024
Context triple: [women's 100 metres hurdles, worldRecordHolderAsOf2024, Tobi Amusan]

A. olympicRecordHolderAsOf2024
Indicates that the subject is the athlete or team that holds the official Olympic record for the specified event as of the year 2024.
B. worldRecordMaintainedBy chosen
Indicates that a particular world record is currently held or overseen by a specific entity (such as a person or organization).
C. worldRecordsHeld
Indicates that an entity holds or has achieved one or more officially recognized world records.
D. worldRecordTime
Indicates that an entity’s recorded time for an event is the fastest ever achieved globally, i.e., the official world record time for that event.
E. worldRecordSet
Indicates that an entity has achieved and established the best performance ever recorded in the world for a particular activity, event, or measurable criterion.
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_69f3499c2d7481909c953a5010227725`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69fe031bc6208190860099aef72d8dcb`	completed	May 8, 2026, 3:36 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3689de02ec81908a3779160cc43c65`	completed	June 20, 2026, 12:38 p.m.
NEDg	Description generation	`batch_6a368a5f070c81909a5d0e8f4ac5ad2e`	completed	June 20, 2026, 12:41 p.m.
NED2	Entity disambiguation (via description)	`batch_6a368b17fd848190be803db49a0ef089`	completed	June 20, 2026, 12:44 p.m.
PD	Predicate disambiguation	`batch_69fe014c8b388190b5d4e0cb95ee2be5`	completed	May 8, 2026, 3:29 p.m.

Created at: May 1, 2026, 1:49 a.m.