Triple

T15833083
Position Surface form Disambiguated ID Type / Status
Subject Chris Hipkins E383918 entity
Predicate spouse P13 FINISHED
Object Jade Hipkins
Jade Hipkins is the wife of New Zealand politician and former Prime Minister Chris Hipkins.
E1179125 NE FINISHED

How this triple was built (4 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: Jade Hipkins | Statement: [Chris Hipkins, spouse, Jade Hipkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jade Hipkins
Context triple: [Chris Hipkins, spouse, Jade Hipkins]
  • A. Kalani Hilliker
    Kalani Hilliker is an American dancer, actress, and social media personality who gained fame as a cast member on the reality TV series "Dance Moms."
  • B. Mackenzie Douthit
    Mackenzie Douthit is an American reality television personality best known for appearing as one of the young mothers on MTV’s Teen Mom franchise.
  • C. Kaylie Jones
    Kaylie Jones is an American novelist and memoirist, known for works such as "A Soldier's Daughter Never Cries" and for being the daughter of author James Jones.
  • D. Kylie Peppler
    Kylie Peppler is a learning sciences researcher known for her work on creative computing, maker education, and the integration of arts and technology in STEM learning.
  • E. Mallory Hanson
    Mallory Hanson is a central supporting character in the comedy series "Grace and Frankie," known as one of Grace's daughters who often juggles family responsibilities and personal ambitions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Jade Hipkins
Triple: [Chris Hipkins, spouse, Jade Hipkins]
Generated description
Jade Hipkins is the wife of New Zealand politician and former Prime Minister Chris Hipkins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jade Hipkins
Target entity description: Jade Hipkins is the wife of New Zealand politician and former Prime Minister Chris Hipkins.
  • A. Kalani Hilliker
    Kalani Hilliker is an American dancer, actress, and social media personality who gained fame as a cast member on the reality TV series "Dance Moms."
  • B. Mackenzie Douthit
    Mackenzie Douthit is an American reality television personality best known for appearing as one of the young mothers on MTV’s Teen Mom franchise.
  • C. Kaylie Jones
    Kaylie Jones is an American novelist and memoirist, known for works such as "A Soldier's Daughter Never Cries" and for being the daughter of author James Jones.
  • D. Addison Riecke
    Addison Riecke is an American actress best known for her role as Nora Thunderman on the Nickelodeon series "The Thundermans" and appearances in films such as "The Beguiled" (2017).
  • E. Kylie Peppler
    Kylie Peppler is a learning sciences researcher known for her work on creative computing, maker education, and the integration of arts and technology in STEM learning.
  • F. None of above. chosen

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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e653e388190a4696cdb22546715 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff99a0e62081909d02f87972490eef completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9b56e07881909767b254dda6c8f7 completed May 9, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69ff9bfadd3081909b06c1ead4fd8f94 completed May 9, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:49 a.m.