Triple

T22853566
Position Surface form Disambiguated ID Type / Status
Subject Lesa France Kennedy E566417 entity
Predicate givenName P17 FINISHED
Object Lesa
Lesa is the first name of Lesa France Kennedy, a prominent American motorsports executive and member of the family that controls NASCAR.
 E1559362 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: Lesa | Statement: [Lesa France Kennedy, givenName, Lesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lesa
Context triple: [Lesa France Kennedy, givenName, Lesa]
  • A. Lessa
    Lessa is the fiercely determined and telepathically gifted heroine of Anne McCaffrey’s Dragonriders of Pern series, known for her bond with the golden queen dragon Ramoth and her pivotal role in saving Pern.
  • B. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • C. Lisea
    Lisea is a French private consortium that finances, builds, and operates the high-speed rail line LGV Sud Europe Atlantique between Tours and Bordeaux.
  • D. Lea
    Lea is a given name used across various cultures, often as a variant of Leah or Léa.
  • E. Lea
    The Lea is a major river in southeast England that flows through Bedfordshire, Hertfordshire, and Essex before joining the River Thames in London.
  • 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: Lesa
Triple: [Lesa France Kennedy, givenName, Lesa]
Generated description
Lesa is the first name of Lesa France Kennedy, a prominent American motorsports executive and member of the family that controls NASCAR.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lesa
Target entity description: Lesa is the first name of Lesa France Kennedy, a prominent American motorsports executive and member of the family that controls NASCAR.
  • A. Lessa
    Lessa is the fiercely determined and telepathically gifted heroine of Anne McCaffrey’s Dragonriders of Pern series, known for her bond with the golden queen dragon Ramoth and her pivotal role in saving Pern.
  • B. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • C. Lisea
    Lisea is a French private consortium that finances, builds, and operates the high-speed rail line LGV Sud Europe Atlantique between Tours and Bordeaux.
  • D. Lea
    Lea is a given name used across various cultures, often as a variant of Leah or Léa.
  • E. Lea
    The Lea is a major river in southeast England that flows through Bedfordshire, Hertfordshire, and Essex before joining the River Thames in London.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eba65a881908c484262c3ee5212 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae8636488190ba3391468ff77f4f completed May 19, 2026, 12:27 a.m.
NEDg Description generation batch_6a0bb2a9ec448190919c5fd16e194f3a completed May 19, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb306d3a081908e241b8f5667a014 completed May 19, 2026, 12:47 a.m.
Created at: April 17, 2026, 3:37 p.m.