Triple

T203609
Position Surface form Disambiguated ID Type / Status
Subject Russell Crowe E4560 entity
Predicate spouse P13 FINISHED
Object Danielle Spencer
Danielle Spencer is an Australian actress and singer-songwriter best known for her work in film and music as well as her long-term relationship with actor Russell Crowe.
 E111301 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: Danielle Spencer | Statement: [Russell Crowe, spouse, Danielle Spencer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danielle Spencer
Context triple: [Russell Crowe, spouse, Danielle Spencer]
  • A. Denise Mara
    Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
  • B. Diane Elizabeth Dern
    Diane Elizabeth Dern is the daughter of acclaimed American actor Bruce Dern.
  • C. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • D. Dana DeMuth
    Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
  • E. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • 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: Danielle Spencer
Triple: [Russell Crowe, spouse, Danielle Spencer]
Generated description
Danielle Spencer is an Australian actress and singer-songwriter best known for her work in film and music as well as her long-term relationship with actor Russell Crowe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danielle Spencer
Target entity description: Danielle Spencer is an Australian actress and singer-songwriter best known for her work in film and music as well as her long-term relationship with actor Russell Crowe.
  • A. Denise Mara
    Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
  • B. Diane Elizabeth Dern
    Diane Elizabeth Dern is the daughter of acclaimed American actor Bruce Dern.
  • C. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • D. Dana DeMuth
    Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
  • E. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be7337481909f4937fc1a06fb53 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a826b9cb28819096d851acd4350526 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a83f0495dc8190bee8bfc9f32dafb3 completed March 4, 2026, 2:17 p.m.
NED2 Entity disambiguation (via description) batch_69a83f3698388190b58eec7be7d2a72e completed March 4, 2026, 2:18 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.