Triple

T24201678
Position Surface form Disambiguated ID Type / Status
Subject Camille Gottlieb E599996 entity
Predicate name P16 FINISHED
Object Camille Marie Kelly Gottlieb
Camille Marie Kelly Gottlieb is the daughter of Princess Stéphanie of Monaco, known as a member of the Monegasque princely family and a public figure involved in social and charitable activities.
E1625612 NE FINISHED

How this triple was built (2 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: Camille Marie Kelly Gottlieb | Statement: [Camille Gottlieb, name, Camille Marie Kelly Gottlieb]
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: Camille Marie Kelly Gottlieb
Triple: [Camille Gottlieb, name, Camille Marie Kelly Gottlieb]
Generated description
Camille Marie Kelly Gottlieb is the daughter of Princess Stéphanie of Monaco, known as a member of the Monegasque princely family and a public figure involved in social and charitable activities.

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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca1f3b481908c14052a8435fd21 completed April 29, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd14e1dc8190ae43fd32255b7e19 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbe78822881909e04f037a60db091 completed May 22, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf0ed7808190b64797da02f8fbac completed May 22, 2026, 2:27 a.m.
Created at: April 17, 2026, 11:36 p.m.