Triple

T3626357
Position Surface form Disambiguated ID Type / Status
Subject Edward Lampert E76847 entity
Predicate spouse P13 FINISHED
Object Kinga Lampert
Kinga Lampert is a philanthropist and breast cancer advocate best known as the co-founder and chair of the Breast Cancer Research Foundation.
E374357 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: Kinga Lampert | Statement: [Edward Lampert, spouse, Kinga Lampert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinga Lampert
Context triple: [Edward Lampert, spouse, Kinga Lampert]
  • A. Birgit Kroencke
    Birgit Kroencke is a Danish former model and painter best known as the longtime wife of British actor Christopher Lee.
  • B. Ursula Paetsch
    Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
  • C. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • D. Johanna Hiedler
    Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
  • E. Anita Gütermann
    Anita Gütermann was a German heiress from the Gütermann industrial family who became known as the first wife of renowned conductor Herbert von Karajan.
  • 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: Kinga Lampert
Triple: [Edward Lampert, spouse, Kinga Lampert]
Generated description
Kinga Lampert is a philanthropist and breast cancer advocate best known as the co-founder and chair of the Breast Cancer Research Foundation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kinga Lampert
Target entity description: Kinga Lampert is a philanthropist and breast cancer advocate best known as the co-founder and chair of the Breast Cancer Research Foundation.
  • A. Birgit Kroencke
    Birgit Kroencke is a Danish former model and painter best known as the longtime wife of British actor Christopher Lee.
  • B. Ursula Paetsch
    Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
  • C. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • D. Johanna Hiedler
    Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
  • E. Anita Gütermann
    Anita Gütermann was a German heiress from the Gütermann industrial family who became known as the first wife of renowned conductor Herbert von Karajan.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2dc011c8190a6596f4b483fb078 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4332488d88190ac70846388b7ff13 completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b4378c5f3c81908b88def235abed9c completed March 13, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69b4382148c48190b75ee46182f4d817 completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:23 p.m.