Triple

T12277331
Position Surface form Disambiguated ID Type / Status
Subject Lisa Kudrow E292621 entity
Predicate spouse P13 FINISHED
Object Michel Stern
Michel Stern is a French advertising executive best known as the husband of actress Lisa Kudrow.
E976190 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: Michel Stern | Statement: [Lisa Kudrow, spouse, Michel Stern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Stern
Context triple: [Lisa Kudrow, spouse, Michel Stern]
  • A. Michel Ecochard
    Michel Ecochard was a prominent French architect and urban planner known for his influential modernist designs and large-scale planning projects in the Middle East and North Africa.
  • B. Jean-Pierre Meyer
    Jean-Pierre Meyer is a French mathematician known for being a member of the influential collective pseudonym Nicolas Bourbaki.
  • C. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • D. Jean-Michel Raimond
    Jean-Michel Raimond is a French physicist known for his work in quantum optics and cavity quantum electrodynamics.
  • E. Michel Pinseau
    Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
  • 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: Michel Stern
Triple: [Lisa Kudrow, spouse, Michel Stern]
Generated description
Michel Stern is a French advertising executive best known as the husband of actress Lisa Kudrow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michel Stern
Target entity description: Michel Stern is a French advertising executive best known as the husband of actress Lisa Kudrow.
  • A. Michel Ecochard
    Michel Ecochard was a prominent French architect and urban planner known for his influential modernist designs and large-scale planning projects in the Middle East and North Africa.
  • B. Jean-Pierre Meyer
    Jean-Pierre Meyer is a French mathematician known for being a member of the influential collective pseudonym Nicolas Bourbaki.
  • C. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • D. Jean-Michel Raimond
    Jean-Michel Raimond is a French physicist known for his work in quantum optics and cavity quantum electrodynamics.
  • E. Michel Pinseau
    Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6d72d081908c8697257df712f1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f620759f348190baa9af5b33d4e37f completed May 2, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69f624bf23948190b182e4c31564d210 completed May 2, 2026, 4:22 p.m.
Created at: April 8, 2026, 9:52 p.m.