Triple

T4573500
Position Surface form Disambiguated ID Type / Status
Subject Kitch Christie E123089 entity
Predicate testRecord P57797 FINISHED
Object unbeaten as Springbok coach LITERAL 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: unbeaten as Springbok coach | Statement: [Kitch Christie, testRecord, unbeaten as Springbok coach]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testRecord
Context triple: [Kitch Christie, testRecord, unbeaten as Springbok coach]
  • A. testDetail
    Indicates that there is specific, often granular information or attributes associated with a particular test or testing instance.
  • B. launchRecord
    Indicates the act of initiating or starting a recorded instance of a process, event, or operation.
  • C. recordingOf
    Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
  • D. trackRecordUsedFor
    Indicates that a track record is utilized as a basis or input for some subsequent decision, evaluation, or process.
  • E. tests
    Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
  • F. None of above. chosen

Provenance (4 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c89a5c81909a78bf0ac64777ad completed March 20, 2026, 2:25 p.m.
PD Predicate disambiguation batch_69bd5227063c8190973155a875b013a7 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56f6e75481909c487a94a2c2d0ba completed March 20, 2026, 2:17 p.m.
Created at: March 20, 2026, 1:10 p.m.