Triple

T33347826
Position Surface form Disambiguated ID Type / Status
Subject IRB Junior Player of the Year E853847 entity
Predicate alsoKnownAs P39 FINISHED
Object World Rugby Junior Player of the Year
The World Rugby Junior Player of the Year is an annual award recognizing the most outstanding under-20 rugby union player in the world.
E2049595 NE FINISHED

How this triple was built (2 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: World Rugby Junior Player of the Year | Statement: [IRB Junior Player of the Year, alsoKnownAs, World Rugby Junior Player of the Year]
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: World Rugby Junior Player of the Year
Triple: [IRB Junior Player of the Year, alsoKnownAs, World Rugby Junior Player of the Year]
Generated description
The World Rugby Junior Player of the Year is an annual award recognizing the most outstanding under-20 rugby union player in the world.

Provenance (5 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_69f3496a1a588190bad9cbe9221144e0 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6df76286481909a4fad8e270ae00d completed May 3, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3576de3d3081909432584cac0053df completed June 19, 2026, 5:05 p.m.
NEDg Description generation batch_6a3578404d488190a72b580ac3af4eb1 completed June 19, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_6a3578ce5b1c8190a2e0a5361a39dd80 completed June 19, 2026, 5:13 p.m.
Created at: May 1, 2026, 1:34 a.m.