Triple

T6085570
Position Surface form Disambiguated ID Type / Status
Subject Jim France E135630 entity
Predicate relative P37 FINISHED
Object Lesa France Kennedy
Lesa France Kennedy is a prominent American motorsports executive who serves as a key leader in NASCAR and the France family’s racing enterprises.
E566417 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 France Kennedy | Statement: [Jim France, relative, Lesa France Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lesa France Kennedy
Context triple: [Jim France, relative, Lesa France Kennedy]
  • A. Cheryl Kennedy
    Cheryl Kennedy is a British actress known for her work in theatre and television, and for her former marriage to actor Tom Courtenay.
  • B. Valerie O'Herlihy
    Valerie O'Herlihy is known as the wife of Irish-born television and film director Michael O'Herlihy.
  • C. Corinne Kingsbury
    Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
  • D. Kathryn Murphy
    Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
  • E. Betsy McCaughey
    Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
  • 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 France Kennedy
Triple: [Jim France, relative, Lesa France Kennedy]
Generated description
Lesa France Kennedy is a prominent American motorsports executive who serves as a key leader in NASCAR and the France family’s racing enterprises.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lesa France Kennedy
Target entity description: Lesa France Kennedy is a prominent American motorsports executive who serves as a key leader in NASCAR and the France family’s racing enterprises.
  • A. Cheryl Kennedy
    Cheryl Kennedy is a British actress known for her work in theatre and television, and for her former marriage to actor Tom Courtenay.
  • B. Valerie O'Herlihy
    Valerie O'Herlihy is known as the wife of Irish-born television and film director Michael O'Herlihy.
  • C. Corinne Kingsbury
    Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
  • D. Kathryn Murphy
    Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
  • E. Betsy McCaughey
    Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057891dc88190997c4e32b2261fb3 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d60e824819098a9f5fc5cc00be4 completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:12 p.m.