Triple

T17873390
Position Surface form Disambiguated ID Type / Status
Subject Liam Scarlett E446889 entity
Predicate familyName P18 FINISHED
Object Scarlett
Scarlett is a surname of English origin borne by various notable individuals, including artists, performers, and public figures.
 E1294529 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: Scarlett | Statement: [Liam Scarlett, familyName, Scarlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scarlett
Context triple: [Liam Scarlett, familyName, Scarlett]
  • A. Scarlett
    Scarlett is the given name of American actress Scarlett Johansson, a prominent Hollywood star known for roles in films like "Lost in Translation" and the Marvel Cinematic Universe.
  • B. Scarlett
    Scarlett is a fictional burlesque performer character associated with The Burlesque Lounge setting.
  • C. Scarlett
    Scarlett is a key G.I. Joe team member and skilled counterintelligence operative who frequently opposes Cobra Commander and his forces.
  • D. Scarlett
    Scarlett is a sequel novel to Margaret Mitchell’s "Gone with the Wind," written by Alexandra Ripley and continuing the story of Scarlett O’Hara.
  • E. Scarlett O'Connor
    Scarlett O'Connor is a shy but talented singer-songwriter and one of the central characters in the television drama series "Nashville."
  • 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: Scarlett
Triple: [Liam Scarlett, familyName, Scarlett]
Generated description
Scarlett is a surname of English origin borne by various notable individuals, including artists, performers, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scarlett
Target entity description: Scarlett is a surname of English origin borne by various notable individuals, including artists, performers, and public figures.
  • A. Scarlett
    Scarlett is the given name of American actress Scarlett Johansson, a prominent Hollywood star known for roles in films like "Lost in Translation" and the Marvel Cinematic Universe.
  • B. Scarlett
    Scarlett is a fictional burlesque performer character associated with The Burlesque Lounge setting.
  • C. Scarlett
    Scarlett is a sequel novel to Margaret Mitchell’s "Gone with the Wind," written by Alexandra Ripley and continuing the story of Scarlett O’Hara.
  • D. Scarlett
    Scarlett is a key G.I. Joe team member and skilled counterintelligence operative who frequently opposes Cobra Commander and his forces.
  • E. Scarlett O'Connor
    Scarlett O'Connor is a shy but talented singer-songwriter and one of the central characters in the television drama series "Nashville."
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa4959881908774dafb7be99191 completed April 19, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313cdffa8819085ba2ef27abe0700 completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a0314f1f01c8190b4065637716e845f completed May 12, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0318a4ca1481909f8ec14b9b8cb422 completed May 12, 2026, 12:10 p.m.
Created at: April 10, 2026, 10:18 a.m.