Triple

T18262157
Position Surface form Disambiguated ID Type / Status
Subject Mr. Harling E437383 entity
Predicate hasChild P369 FINISHED
Object Julia Harling
Julia Harling is an individual known primarily as the child of Mr. Harling.
E1314830 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: Julia Harling | Statement: [Mr. Harling, hasChild, Julia Harling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Harling
Context triple: [Mr. Harling, hasChild, Julia Harling]
  • A. Julia Dahl
    Julia Dahl is a screenwriter best known for her work on the film "Uptown Girls."
  • B. Julia Bertram
    Julia Bertram is a minor but significant character in Jane Austen's novel "Mansfield Park," portrayed as a socially ambitious younger daughter of the Bertram family whose vanity and worldliness contrast with the heroine Fanny Price.
  • C. Julia Hamer
    Julia Hamer is a British professional wrestler better known by her ring name Saraya Knight, a prominent figure in the UK independent wrestling scene and mother of WWE star Paige.
  • D. Julia Graves
    Julia Graves was the wife of American lawyer and steel industry magnate Elbert H. Gary, the founding chairman of U.S. Steel.
  • E. Julia Hart
    Julia Hart is an American filmmaker and screenwriter known for directing character-driven genre films such as the crime drama "I'm Your Woman."
  • 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: Julia Harling
Triple: [Mr. Harling, hasChild, Julia Harling]
Generated description
Julia Harling is an individual known primarily as the child of Mr. Harling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julia Harling
Target entity description: Julia Harling is an individual known primarily as the child of Mr. Harling.
  • A. Julia Dahl
    Julia Dahl is a screenwriter best known for her work on the film "Uptown Girls."
  • B. Julia Bertram
    Julia Bertram is a minor but significant character in Jane Austen's novel "Mansfield Park," portrayed as a socially ambitious younger daughter of the Bertram family whose vanity and worldliness contrast with the heroine Fanny Price.
  • C. Julia Hamer
    Julia Hamer is a British professional wrestler better known by her ring name Saraya Knight, a prominent figure in the UK independent wrestling scene and mother of WWE star Paige.
  • D. Julia Graves
    Julia Graves was the wife of American lawyer and steel industry magnate Elbert H. Gary, the founding chairman of U.S. Steel.
  • E. Julia Hart
    Julia Hart is an American filmmaker and screenwriter known for directing character-driven genre films such as the crime drama "I'm Your Woman."
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff76a1208190abbe6ab8720ed154 completed April 19, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3f4a9e08190814c8fc05bf28d26 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b4748aa48190a69855ba8e9563dd completed May 12, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a03b4f794148190b01d310db48c2d6e completed May 12, 2026, 11:17 p.m.
Created at: April 10, 2026, 10:34 a.m.