Triple

T7157071
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Renner E166838 entity
Predicate hasChild P369 FINISHED
Object Ava Berlin Renner
Ava Berlin Renner is the daughter of American actor Jeremy Renner.
E645753 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: Ava Berlin Renner | Statement: [Jeremy Renner, hasChild, Ava Berlin Renner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ava Berlin Renner
Context triple: [Jeremy Renner, hasChild, Ava Berlin Renner]
  • A. Alexandra Rubenstein
    Alexandra Rubenstein is one of the daughters of American billionaire investor and philanthropist David M. Rubenstein.
  • B. Kirsten Elizabeth Rutnik
    Kirsten Elizabeth Rutnik is an American lawyer and Democratic politician serving as a United States Senator from New York.
  • C. Alexandra Behrs
    Alexandra Behrs was a member of the Behrs family and a sister of Sofya Andreyevna Behrs, the wife of Russian writer Leo Tolstoy.
  • D. Anna Reinhart
    Anna Reinhart was the wife of Swiss Reformation leader Huldrych Zwingli and is known primarily for her association with his life and work in early 16th-century Zurich.
  • E. Kirsten Beyer
    Kirsten Beyer is an American author and television writer best known for her work on Star Trek novels and for helping develop and write modern Star Trek series such as Star Trek: Discovery and Star Trek: Picard.
  • 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: Ava Berlin Renner
Triple: [Jeremy Renner, hasChild, Ava Berlin Renner]
Generated description
Ava Berlin Renner is the daughter of American actor Jeremy Renner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ava Berlin Renner
Target entity description: Ava Berlin Renner is the daughter of American actor Jeremy Renner.
  • A. Alexandra Rubenstein
    Alexandra Rubenstein is one of the daughters of American billionaire investor and philanthropist David M. Rubenstein.
  • B. Kirsten Elizabeth Rutnik
    Kirsten Elizabeth Rutnik is an American lawyer and Democratic politician serving as a United States Senator from New York.
  • C. Alexandra Behrs
    Alexandra Behrs was a member of the Behrs family and a sister of Sofya Andreyevna Behrs, the wife of Russian writer Leo Tolstoy.
  • D. Anna Reinhart
    Anna Reinhart was the wife of Swiss Reformation leader Huldrych Zwingli and is known primarily for her association with his life and work in early 16th-century Zurich.
  • E. Kirsten Beyer
    Kirsten Beyer is an American author and television writer best known for her work on Star Trek novels and for helping develop and write modern Star Trek series such as Star Trek: Discovery and Star Trek: Picard.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e80f14808190907ee84523630d85 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adb530388190b68fa05418d3e184 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae830c74819091d6d65ac6fba32b completed March 28, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69c7af1133b08190a32dccf82015c19e completed March 28, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:47 p.m.