Triple

T17025681
Position Surface form Disambiguated ID Type / Status
Subject Wheels on Meals E413057 entity
Predicate starring P1507 FINISHED
Object Lola Forner
Lola Forner is a Spanish actress and former Miss Spain best known internationally for co-starring with Jackie Chan in 1980s action-comedy films.
E1246433 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: Lola Forner | Statement: [Wheels on Meals, starring, Lola Forner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lola Forner
Context triple: [Wheels on Meals, starring, Lola Forner]
  • A. Lola Burr
    Lola Burr is the daughter of American stand-up comedian and actor Bill Burr and his wife, producer and writer Nia Renee Hill.
  • B. Lola Gaos
    Lola Gaos was a Spanish film, theater, and television actress known for her intense character roles in mid-20th-century Spanish cinema.
  • C. Lola Flores
    Lola Flores was a celebrated Spanish flamenco singer, dancer, and actress, iconic in 20th-century Spanish popular culture.
  • D. Lola Mann
    Lola Mann is a member of the Mann family, known primarily as the daughter of Julia Mann.
  • E. Thea Almerigotti
    Thea Almerigotti was the wife of Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
  • 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: Lola Forner
Triple: [Wheels on Meals, starring, Lola Forner]
Generated description
Lola Forner is a Spanish actress and former Miss Spain best known internationally for co-starring with Jackie Chan in 1980s action-comedy films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lola Forner
Target entity description: Lola Forner is a Spanish actress and former Miss Spain best known internationally for co-starring with Jackie Chan in 1980s action-comedy films.
  • A. Lola Burr
    Lola Burr is the daughter of American stand-up comedian and actor Bill Burr and his wife, producer and writer Nia Renee Hill.
  • B. Lola Gaos
    Lola Gaos was a Spanish film, theater, and television actress known for her intense character roles in mid-20th-century Spanish cinema.
  • C. Lola Flores
    Lola Flores was a celebrated Spanish flamenco singer, dancer, and actress, iconic in 20th-century Spanish popular culture.
  • D. Lola Mann
    Lola Mann is a member of the Mann family, known primarily as the daughter of Julia Mann.
  • E. Thea Almerigotti
    Thea Almerigotti was the wife of Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b53306081908972a0a5db474b6c completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011cfb74b88190bbd5af862727790f completed May 11, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a011dad838c8190a1ea560680c9ca57 completed May 11, 2026, 12:07 a.m.
Created at: April 10, 2026, 5:33 a.m.