Triple

T9801204
Position Surface form Disambiguated ID Type / Status
Subject Jessica Alba E237840 entity
Predicate child P120 FINISHED
Object Honor Marie Warren
Honor Marie Warren is the eldest daughter of American actress and entrepreneur Jessica Alba and film producer Cash Warren.
E822169 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: Honor Marie Warren | Statement: [Jessica Alba, child, Honor Marie Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honor Marie Warren
Context triple: [Jessica Alba, child, Honor Marie Warren]
  • A. Helen Frances Warren
    Helen Frances Warren was the wife of U.S. Army General John J. Pershing and the daughter of powerful Wyoming senator and cattle rancher Francis E. Warren.
  • B. Sarah Warren
    Sarah Warren was a daughter of Mayflower passenger Richard Warren, belonging to one of the early English settler families in colonial New England.
  • C. Helen Harrington
    Helen Harrington is known as the wife of American minimalist painter Brice Marden.
  • D. Helene Bradley
    Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
  • E. Marie Fisher
    Marie Fisher was the first wife of Fiorello H. La Guardia, the reformist mayor of New York City in the 1930s and 1940s.
  • 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: Honor Marie Warren
Triple: [Jessica Alba, child, Honor Marie Warren]
Generated description
Honor Marie Warren is the eldest daughter of American actress and entrepreneur Jessica Alba and film producer Cash Warren.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Honor Marie Warren
Target entity description: Honor Marie Warren is the eldest daughter of American actress and entrepreneur Jessica Alba and film producer Cash Warren.
  • A. Helen Frances Warren
    Helen Frances Warren was the wife of U.S. Army General John J. Pershing and the daughter of powerful Wyoming senator and cattle rancher Francis E. Warren.
  • B. Sarah Warren
    Sarah Warren was a daughter of Mayflower passenger Richard Warren, belonging to one of the early English settler families in colonial New England.
  • C. Helen Harrington
    Helen Harrington is known as the wife of American minimalist painter Brice Marden.
  • D. Helene Bradley
    Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
  • E. Marie Fisher
    Marie Fisher was the first wife of Fiorello H. La Guardia, the reformist mayor of New York City in the 1930s and 1940s.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c4fc4cc88190b020f672b9f9ba27 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:29 p.m.