Triple

T23946418
Position Surface form Disambiguated ID Type / Status
Subject de Menil family E602924 entity
Predicate notableMember P10 FINISHED
Object Marie-Christophe de Menil
Marie-Christophe de Menil is an American art collector, philanthropist, and member of the prominent de Menil family known for their extensive contributions to modern art and culture.
E1643081 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: Marie-Christophe de Menil | Statement: [de Menil family, notableMember, Marie-Christophe de Menil]
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: Marie-Christophe de Menil
Triple: [de Menil family, notableMember, Marie-Christophe de Menil]
Generated description
Marie-Christophe de Menil is an American art collector, philanthropist, and member of the prominent de Menil family known for their extensive contributions to modern art and culture.

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_69e2953e4924819093f1c24c03476b42 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d02ee0288190b58fd71b9cc65964 completed April 29, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff82c7a188190981277f20a385a16 completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff9076a7081908cd02686d3ac6080 completed May 22, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffcc3dc0c8190a4b8e0b3d68e8c0a completed May 22, 2026, 6:50 a.m.
Created at: April 17, 2026, 9:15 p.m.