Triple

T24970997
Position Surface form Disambiguated ID Type / Status
Subject World Championship Tennis circuit E624888 entity
Predicate notablePlayer P304 FINISHED
Object John Newcombe
John Newcombe is an Australian former world No. 1 tennis player and multiple Grand Slam singles and doubles champion, renowned as one of the sport’s leading figures in the late 1960s and 1970s.
E1656610 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: John Newcombe | Statement: [World Championship Tennis circuit, notablePlayer, John Newcombe]
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: John Newcombe
Triple: [World Championship Tennis circuit, notablePlayer, John Newcombe]
Generated description
John Newcombe is an Australian former world No. 1 tennis player and multiple Grand Slam singles and doubles champion, renowned as one of the sport’s leading figures in the late 1960s and 1970s.

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_69e2ff24512481908e9a72315b8d0354 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f444dd49648190a10956a729a40eec completed May 1, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103359fdf08190ad825bb2449d6241 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a103440175081908c16266d18fa3f7f completed May 22, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a1034f2e0b88190b296a251056bce15 completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 6:01 a.m.