Triple

T9344935
Position Surface form Disambiguated ID Type / Status
Subject Richard Callaghan E224863 entity
Predicate coached P2169 FINISHED
Object Caroline Zhang
Caroline Zhang is an American figure skater known for her lyrical style, strong spins, and success on the international junior circuit in the late 2000s.
 E792864 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: Caroline Zhang | Statement: [Richard Callaghan, coached, Caroline Zhang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caroline Zhang
Context triple: [Richard Callaghan, coached, Caroline Zhang]
  • A. Angela Zhou
    Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
  • B. Lucia Guo
    Lucia Guo is a Chinese-born businesswoman best known as the wife of British Conservative politician and former Chancellor of the Exchequer Jeremy Hunt.
  • C. Cathy Zhang
    Cathy Zhang is a Chinese entrepreneur best known as a founder of the multinational technology conglomerate Alibaba Group.
  • D. Cathy Zhang
    Cathy Zhang is a founder associated with the prestigious Breakthrough Prize in Life Sciences, an award recognizing major advances in biological and medical research.
  • E. Sarah Guo
    Sarah Guo is a prominent venture capitalist and technology investor known for backing early-stage enterprise and AI startups.
  • 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: Caroline Zhang
Triple: [Richard Callaghan, coached, Caroline Zhang]
Generated description
Caroline Zhang is an American figure skater known for her lyrical style, strong spins, and success on the international junior circuit in the late 2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caroline Zhang
Target entity description: Caroline Zhang is an American figure skater known for her lyrical style, strong spins, and success on the international junior circuit in the late 2000s.
  • A. Angela Zhou
    Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
  • B. Lucia Guo
    Lucia Guo is a Chinese-born businesswoman best known as the wife of British Conservative politician and former Chancellor of the Exchequer Jeremy Hunt.
  • C. Cathy Zhang
    Cathy Zhang is a Chinese entrepreneur best known as a founder of the multinational technology conglomerate Alibaba Group.
  • D. Cathy Zhang
    Cathy Zhang is a founder associated with the prestigious Breakthrough Prize in Life Sciences, an award recognizing major advances in biological and medical research.
  • E. Sarah Guo
    Sarah Guo is a prominent venture capitalist and technology investor known for backing early-stage enterprise and AI startups.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0ce7b881908714ab526d94fa1d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e41ccdcc8190b2939716984b2c7b completed April 4, 2026, 10:12 a.m.
NEDg Description generation batch_69d0e573af788190be4baaa3afb87ca2 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e607944c81909a421828595cd793 completed April 4, 2026, 10:20 a.m.
Created at: March 30, 2026, 7:41 p.m.