Triple

T14813684
Position Surface form Disambiguated ID Type / Status
Subject Robert Harron E348251 entity
Predicate familyName P18 FINISHED
Object Harron
Harron is a surname most notably associated with early 20th-century American silent film actor Robert Harron.
 E1120462 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: Harron | Statement: [Robert Harron, familyName, Harron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harron
Context triple: [Robert Harron, familyName, Harron]
  • A. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • B. Harries
    Harries is a surname and variant of Harris, borne by various notable individuals across fields such as sports, academia, and the arts.
  • C. Harrie
    Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
  • D. Harrick
    Harrick is a surname most notably associated with Jim Harrick, an American college basketball coach who led UCLA to the 1995 NCAA championship.
  • E. Haroldson
    Haroldson is the distinctive given name of American oil tycoon and political activist H. L. Hunt.
  • 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: Harron
Triple: [Robert Harron, familyName, Harron]
Generated description
Harron is a surname most notably associated with early 20th-century American silent film actor Robert Harron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harron
Target entity description: Harron is a surname most notably associated with early 20th-century American silent film actor Robert Harron.
  • A. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • B. Harries
    Harries is a surname and variant of Harris, borne by various notable individuals across fields such as sports, academia, and the arts.
  • C. Harrie
    Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
  • D. Harrick
    Harrick is a surname most notably associated with Jim Harrick, an American college basketball coach who led UCLA to the 1995 NCAA championship.
  • E. Haroldson
    Haroldson is the distinctive given name of American oil tycoon and political activist H. L. Hunt.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe0e89c81908c0e1fe2bc3ebcfc completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24cca0b88190b20a6c7dd77b8146 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe291c69fc8190b29d6d2ca89ce6ec completed May 8, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_69fe29a093d0819092ae65dc66a3c190 completed May 8, 2026, 6:21 p.m.
Created at: April 10, 2026, 1:48 a.m.