Triple

T2250568
Position Surface form Disambiguated ID Type / Status
Subject Adam Driver E49605 entity
Predicate spouse P13 FINISHED
Object Joanne Tucker
Joanne Tucker is an American actress known for her work in independent films and theater, as well as for her involvement in arts-focused nonprofit initiatives.
 E271597 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: Joanne Tucker | Statement: [Adam Driver, spouse, Joanne Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joanne Tucker
Context triple: [Adam Driver, spouse, Joanne Tucker]
  • A. Joanne Rogers
    Joanne Rogers was an American concert pianist and television personality best known as the longtime wife and collaborator of children's television icon Fred Rogers and as a prominent advocate for his legacy.
  • B. Joanne Horton
    Joanne Horton was the wife of H. R. Haldeman, a prominent aide to U.S. President Richard Nixon during the Watergate era.
  • C. Ann Buck
    Ann Buck is known as the former wife of American sportscaster Joe Buck.
  • D. Renee Gadd
    Renee Gadd was a British actress active in the 1930s and 1940s, known for her roles in British cinema and theatre.
  • E. Joanne Schieble
    Joanne Schieble is an American woman best known as the biological mother of Apple co-founder Steve Jobs.
  • 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: Joanne Tucker
Triple: [Adam Driver, spouse, Joanne Tucker]
Generated description
Joanne Tucker is an American actress known for her work in independent films and theater, as well as for her involvement in arts-focused nonprofit initiatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joanne Tucker
Target entity description: Joanne Tucker is an American actress known for her work in independent films and theater, as well as for her involvement in arts-focused nonprofit initiatives.
  • A. Joanne Rogers
    Joanne Rogers was an American concert pianist and television personality best known as the longtime wife and collaborator of children's television icon Fred Rogers and as a prominent advocate for his legacy.
  • B. Joanne Horton
    Joanne Horton was the wife of H. R. Haldeman, a prominent aide to U.S. President Richard Nixon during the Watergate era.
  • C. Ann Buck
    Ann Buck is known as the former wife of American sportscaster Joe Buck.
  • D. Renee Gadd
    Renee Gadd was a British actress active in the 1930s and 1940s, known for her roles in British cinema and theatre.
  • E. Joanne Schieble
    Joanne Schieble is an American woman best known as the biological mother of Apple co-founder Steve Jobs.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11b61888190af3b11b87dc8e0dc completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f76bb60819084cac16bce2ce55d completed March 9, 2026, 7:28 p.m.
NEDg Description generation batch_69af200e2db4819085851a45213edc89 completed March 9, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69af208dfab081909d706aad8ff5f615 completed March 9, 2026, 7:33 p.m.
Created at: March 4, 2026, 7:47 p.m.