Triple

T35707230
Position Surface form Disambiguated ID Type / Status
Subject 2016 Wimbledon Championships E1031750 entity
Predicate boysDoublesChampions P183842 FINISHED
Object Benjamin Sigouin
Benjamin Sigouin is a Canadian tennis player known for his success as a junior, including winning a boys' doubles title at Wimbledon.
 E2151285 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: Benjamin Sigouin | Statement: [2016 Wimbledon Championships, boysDoublesChampions, Benjamin Sigouin]
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: Benjamin Sigouin
Triple: [2016 Wimbledon Championships, boysDoublesChampions, Benjamin Sigouin]
Generated description
Benjamin Sigouin is a Canadian tennis player known for his success as a junior, including winning a boys' doubles title at Wimbledon.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: boysDoublesChampions
Context triple: [2016 Wimbledon Championships, boysDoublesChampions, Benjamin Sigouin]
  • A. mixedDoublesChampions
    Indicates that the related entities together won a mixed doubles championship in a given event or competition.
  • B. WimbledonDoublesChampion
    Indicates that the subject has won the doubles championship title at the Wimbledon tennis tournament.
  • C. AustralianOpenDoublesChampion
    Indicates that the subject is the winner of the doubles competition at the Australian Open tennis tournament for a given year.
  • D. menDoublesRunnersUp
    Indicates that the referenced entities were the runners-up in the men's doubles event of a competition or tournament.
  • E. grandSlamDoublesTitles
    Indicates the number of Grand Slam tennis doubles titles an entity has won.
  • 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_69f76e0d393c8190b6303c64408736db completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a34f8ee08190a040304635539a8f completed May 3, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38729dc0988190b94f61bf98787ca6 completed June 21, 2026, 11:24 p.m.
NEDg Description generation batch_6a38730bbf348190b9ad5a1ef6a659a8 completed June 21, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a3873fd9ccc8190ac41f5aaf772bde6 completed June 21, 2026, 11:30 p.m.
PD Predicate disambiguation batch_69f7a06f125c8190843af194f042a465 completed May 3, 2026, 7:22 p.m.
PDg Predicate description generation batch_69f7a34e80dc8190980d5b7b0b91341d completed May 3, 2026, 7:34 p.m.
Created at: May 3, 2026, 4:05 p.m.