Triple

T15191166
Position Surface form Disambiguated ID Type / Status
Subject Kimora Lee Simmons E363012 entity
Predicate givenName P17 FINISHED
Object Kimora
Kimora is the first name of Kimora Lee Simmons, an American fashion model, designer, and television personality.
E1142003 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: Kimora | Statement: [Kimora Lee Simmons, givenName, Kimora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimora
Context triple: [Kimora Lee Simmons, givenName, Kimora]
  • A. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • B. Dorraine
    Dorraine is an alternate given name of Vivian Liberto, best known as the first wife of country music legend Johnny Cash.
  • C. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • D. Merrillia
    Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
  • E. Katherine Cove
    Katherine Cove is a scenic sandy beach and picnic area on the shores of Lake Superior in Ontario, known for its clear waters, rock formations, and easy roadside access.
  • 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: Kimora
Triple: [Kimora Lee Simmons, givenName, Kimora]
Generated description
Kimora is the first name of Kimora Lee Simmons, an American fashion model, designer, and television personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kimora
Target entity description: Kimora is the first name of Kimora Lee Simmons, an American fashion model, designer, and television personality.
  • A. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • B. Dorraine
    Dorraine is an alternate given name of Vivian Liberto, best known as the first wife of country music legend Johnny Cash.
  • C. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • D. Merrillia
    Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
  • E. Katherine Cove
    Katherine Cove is a scenic sandy beach and picnic area on the shores of Lake Superior in Ontario, known for its clear waters, rock formations, and easy roadside access.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec8995bb08190bd7f0be0a0fcf1e7 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69feca98251081909c07f7ba4a863ad8 completed May 9, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69fecb1cc7d08190a77e8a444334b688 completed May 9, 2026, 5:50 a.m.
Created at: April 10, 2026, 3:10 a.m.