Triple

T25462655
Position Surface form Disambiguated ID Type / Status
Subject Australian Championships 1960 E638090 entity
Predicate womenDoublesChampions P156503 FINISHED
Object Christine Truman
Christine Truman is a former British tennis player who was one of the world’s leading women players in the late 1950s and early 1960s, winning multiple Grand Slam titles in singles and doubles.
 E1678485 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: Christine Truman | Statement: [Australian Championships 1960, womenDoublesChampions, Christine Truman]
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: Christine Truman
Triple: [Australian Championships 1960, womenDoublesChampions, Christine Truman]
Generated description
Christine Truman is a former British tennis player who was one of the world’s leading women players in the late 1950s and early 1960s, winning multiple Grand Slam titles in singles and doubles.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: womenDoublesChampions
Context triple: [Australian Championships 1960, womenDoublesChampions, Christine Truman]
  • 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. grandSlamDoublesTitles
    Indicates the number of Grand Slam tennis doubles titles an entity has won.
  • D. AustralianOpenDoublesChampion chosen
    Indicates that the subject is the winner of the doubles competition at the Australian Open tennis tournament for a given year.
  • E. FrenchOpenDoublesChampion
    Indicates that the subject is the winner of the doubles competition at the French Open tennis tournament for a given year.
  • 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_69e75db8bab08190baca80b4a8c315fd completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5ffc74fa481909b4fe24a9337f9eb completed May 2, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089b4c3fc8190801d27a74bf721f2 completed May 22, 2026, 4:52 p.m.
NEDg Description generation batch_6a108a67fc908190926977f4e65dba0b completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108afb4ad08190a1e9bcd731d98fcb completed May 22, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
Created at: April 21, 2026, 2:12 p.m.