Triple

T3402314
Position Surface form Disambiguated ID Type / Status
Subject Einat Kalisch-Rotem E71683 entity
Predicate familyName P18 FINISHED
Object Kalisch-Rotem
Kalisch-Rotem is the hyphenated surname of Einat Kalisch-Rotem, an Israeli urban planner and politician who has served as the mayor of Haifa.
E356095 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: Kalisch-Rotem | Statement: [Einat Kalisch-Rotem, familyName, Kalisch-Rotem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalisch-Rotem
Context triple: [Einat Kalisch-Rotem, familyName, Kalisch-Rotem]
  • A. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • B. Ruländer
    Ruländer is a traditional German name for the Pinot Gris grape variety, commonly used for rich, full-bodied white wines.
  • C. Bohle
    Bohle is a German surname most notably associated with Ernst Wilhelm Bohle, a high-ranking Nazi official and leader of the party’s foreign organization.
  • D. Mennekes
    Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
  • E. Dietl
    Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
  • 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: Kalisch-Rotem
Triple: [Einat Kalisch-Rotem, familyName, Kalisch-Rotem]
Generated description
Kalisch-Rotem is the hyphenated surname of Einat Kalisch-Rotem, an Israeli urban planner and politician who has served as the mayor of Haifa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kalisch-Rotem
Target entity description: Kalisch-Rotem is the hyphenated surname of Einat Kalisch-Rotem, an Israeli urban planner and politician who has served as the mayor of Haifa.
  • A. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • B. Ruländer
    Ruländer is a traditional German name for the Pinot Gris grape variety, commonly used for rich, full-bodied white wines.
  • C. Bohle
    Bohle is a German surname most notably associated with Ernst Wilhelm Bohle, a high-ranking Nazi official and leader of the party’s foreign organization.
  • D. Mennekes
    Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
  • E. Dietl
    Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8e78ec8819089417666dc29f412 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd4d02881909c365e054148ae8c completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e4792608190b74e02e065d4bc68 completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b3525f44948190af72b177193edca4 completed March 12, 2026, 11:55 p.m.
Created at: March 8, 2026, 3:14 p.m.