Triple

T3234193
Position Surface form Disambiguated ID Type / Status
Subject Lachlan Murdoch E67810 entity
Predicate spouse P13 FINISHED
Object Sarah Murdoch
Sarah Murdoch is an English-born Australian model, television presenter, and actress known for hosting "Australia's Next Top Model" and her work in Australian media and philanthropy.
 E343144 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: Sarah Murdoch | Statement: [Lachlan Murdoch, spouse, Sarah Murdoch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarah Murdoch
Context triple: [Lachlan Murdoch, spouse, Sarah Murdoch]
  • A. Sarah Ward
    Sarah Ward is a British producer and the former wife of actor Tom Hardy.
  • B. Claire Finn
    Claire Finn is a skilled and compassionate chief medical officer aboard the exploratory spaceship in the science-fiction comedy-drama series "The Orville."
  • C. Lucinda Riley
    Lucinda Riley was a bestselling Irish author best known for her multi-volume historical fiction series "The Seven Sisters," which achieved international acclaim.
  • D. Connie Reid
    Connie Reid is a person notable enough to be recognized as a prominent bearer of the surname Reid.
  • E. Rachel Ward
    Rachel Ward is a mathematician known for her influential research in applied and computational mathematics, including work in areas such as optimization and data science.
  • 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: Sarah Murdoch
Triple: [Lachlan Murdoch, spouse, Sarah Murdoch]
Generated description
Sarah Murdoch is an English-born Australian model, television presenter, and actress known for hosting "Australia's Next Top Model" and her work in Australian media and philanthropy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarah Murdoch
Target entity description: Sarah Murdoch is an English-born Australian model, television presenter, and actress known for hosting "Australia's Next Top Model" and her work in Australian media and philanthropy.
  • A. Sarah Ward
    Sarah Ward is a British producer and the former wife of actor Tom Hardy.
  • B. Claire Finn
    Claire Finn is a skilled and compassionate chief medical officer aboard the exploratory spaceship in the science-fiction comedy-drama series "The Orville."
  • C. Lucinda Riley
    Lucinda Riley was a bestselling Irish author best known for her multi-volume historical fiction series "The Seven Sisters," which achieved international acclaim.
  • D. Connie Reid
    Connie Reid is a person notable enough to be recognized as a prominent bearer of the surname Reid.
  • E. Rachel Ward
    Rachel Ward is a mathematician known for her influential research in applied and computational mathematics, including work in areas such as optimization and data science.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedcd9588190b3623f0109d653a4 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ea696a08190a17cbeeef7632977 completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2966f189c8190bb56daea54be8a93 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6bf36988190b394766e9821047c completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:08 p.m.