Triple

T32313526
Position Surface form Disambiguated ID Type / Status
Subject Brodie Retallick E825565 entity
Predicate hasSibling P363 FINISHED
Object Codi Retallick
Codi Retallick is a sibling of New Zealand rugby union star Brodie Retallick, known primarily in relation to his internationally recognized brother.
E2017497 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: Codi Retallick | Statement: [Brodie Retallick, hasSibling, Codi Retallick]
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: Codi Retallick
Triple: [Brodie Retallick, hasSibling, Codi Retallick]
Generated description
Codi Retallick is a sibling of New Zealand rugby union star Brodie Retallick, known primarily in relation to his internationally recognized brother.

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_69f3491213b88190a57094d8697a7455 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bdb9771c81909894f0efa4f05a89 completed May 3, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349283e30c8190adec7f370b3c1c8c completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a3496a6e61481908e94428097a22ba0 completed June 19, 2026, 1:08 a.m.
NED2 Entity disambiguation (via description) batch_6a3496fcf8f88190ba52e7c022b28368 completed June 19, 2026, 1:10 a.m.
Created at: May 1, 2026, 12:46 a.m.