Triple

T24417570

Position	Surface form	Disambiguated ID	Type / Status
Subject	FWA Footballer of the Year 2016–17	`E615628`	entity
Predicate	nextAward	`P2686`	FINISHED
Object	FWA Footballer of the Year 2017–18 FWA Footballer of the Year 2017–18 is the English Football Writers' Association award given to the player judged to have been the best in English football during the 2017–2018 season.	`E1637618`	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: FWA Footballer of the Year 2017–18 | Statement: [FWA Footballer of the Year 2016–17, nextAward, FWA Footballer of the Year 2017–18]

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: FWA Footballer of the Year 2017–18
Triple: [FWA Footballer of the Year 2016–17, nextAward, FWA Footballer of the Year 2017–18]

Generated description

FWA Footballer of the Year 2017–18 is the English Football Writers' Association award given to the player judged to have been the best in English football during the 2017–2018 season.

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

Target predicate: nextAward
Context triple: [FWA Footballer of the Year 2016–17, nextAward, FWA Footballer of the Year 2017–18]

A. laterAwardedBy
Indicates that an entity received an award from another entity at a later time than some referenced event or point in time.
B. awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
C. lastAwarded
Indicates the most recent time or instance at which an entity received a particular award.
D. nextEdition chosen
Indicates that one entity is the immediate subsequent edition or version that follows another in a sequence.
E. awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
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_69e2d7e9bfac8190a748952a90957106`	completed	April 18, 2026, 1:01 a.m.
NER	Named-entity recognition	`batch_69f29587b2308190907886b82d8c5129`	completed	April 29, 2026, 11:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fee6730dc819094cfb8d5610210cd`	completed	May 22, 2026, 5:49 a.m.
NEDg	Description generation	`batch_6a0fef6feb088190870b41df1edb338e`	completed	May 22, 2026, 5:53 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0ff0485fd881909fe491c9183491de`	completed	May 22, 2026, 5:57 a.m.
PD	Predicate disambiguation	`batch_69f287cc4fd4819081e93cc638d9512d`	completed	April 29, 2026, 10:35 p.m.

Created at: April 18, 2026, 2:13 a.m.