Triple

T14757527
Position Surface form Disambiguated ID Type / Status
Subject Deng Wenge E346767 entity
Predicate hasChild P369 FINISHED
Object Chloe Murdoch E333412 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: Chloe Murdoch | Statement: [Deng Wenge, hasChild, Chloe Murdoch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chloe Murdoch
Context triple: [Deng Wenge, hasChild, Chloe Murdoch]
  • A. Chloe Murdoch chosen
    Chloe Murdoch is one of the daughters of media mogul Rupert Murdoch and his ex-wife Wendi Deng.
  • B. Chloe Murdoch
    Chloe Murdoch is a member of the Murdoch family, known primarily as a daughter of media executive Elisabeth Murdoch and a granddaughter of media mogul Rupert Murdoch.
  • C. Chloe Carmichael
    Chloe Carmichael is a main character introduced in later seasons of the animated series "The Fairly OddParents," known as Timmy Turner's enthusiastic, idealistic neighbor who shares his fairy godparents.
  • D. Chloe Parker
    Chloe Parker is the protagonist of Nicole Richie’s novel "The Truth About Diamonds," a young woman navigating the glamorous yet tumultuous world of celebrity and high society.
  • E. Chloë Villette
    Chloë Villette is a fictional character portrayed by French actress Clémence Poésy, known from her work in film and television.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7ef0fd48190bd4a8af128ef274c completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ced0e2c8190a13e3b43e4d35560 completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.