Triple

T10794441
Position Surface form Disambiguated ID Type / Status
Subject Isaac Herzog E254665 entity
Predicate spouse P13 FINISHED
Object Michal Herzog
Michal Herzog is an Israeli lawyer and the First Lady of Israel, married to President Isaac Herzog.
E885478 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: Michal Herzog | Statement: [Isaac Herzog, spouse, Michal Herzog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michal Herzog
Context triple: [Isaac Herzog, spouse, Michal Herzog]
  • A. Michal Grossman
    Michal Grossman is the wife of acclaimed Israeli author David Grossman.
  • B. Gabriel Mekler
    Gabriel Mekler was a rock music producer best known for shaping the sound of Steppenwolf and other late-1960s and early-1970s acts.
  • C. Michal Socha
    Michal Socha is a Polish animator and film director known for his distinctive, stylized work in animation, including contributing a segment to the animated feature film "The Prophet" (2014).
  • D. Marek Edelman
    Marek Edelman was a Polish-Jewish cardiologist and resistance leader best known as one of the key leaders of the Jewish Combat Organization during the Holocaust and a commander in the Warsaw Ghetto Uprising.
  • E. Mischa Spoliansky
    Mischa Spoliansky was a Russian-born British composer best known for his film scores and cabaret music in early- to mid-20th-century Europe.
  • 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: Michal Herzog
Triple: [Isaac Herzog, spouse, Michal Herzog]
Generated description
Michal Herzog is an Israeli lawyer and the First Lady of Israel, married to President Isaac Herzog.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michal Herzog
Target entity description: Michal Herzog is an Israeli lawyer and the First Lady of Israel, married to President Isaac Herzog.
  • A. Michal Grossman
    Michal Grossman is the wife of acclaimed Israeli author David Grossman.
  • B. Gabriel Mekler
    Gabriel Mekler was a rock music producer best known for shaping the sound of Steppenwolf and other late-1960s and early-1970s acts.
  • C. Michal Socha
    Michal Socha is a Polish animator and film director known for his distinctive, stylized work in animation, including contributing a segment to the animated feature film "The Prophet" (2014).
  • D. Marek Edelman
    Marek Edelman was a Polish-Jewish cardiologist and resistance leader best known as one of the key leaders of the Jewish Combat Organization during the Holocaust and a commander in the Warsaw Ghetto Uprising.
  • E. Mischa Spoliansky
    Mischa Spoliansky was a Russian-born British composer best known for his film scores and cabaret music in early- to mid-20th-century Europe.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f878648190be5e25c56a7511cf completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de564748ac8190beaaea44bb2d95ed completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.