Triple

T14360925
Position Surface form Disambiguated ID Type / Status
Subject Einat Kalisch-Rotem E356095 entity
Predicate hasHyphenatedSurname P37098 FINISHED
Object Kalisch-Rotem E356095 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: Kalisch-Rotem | Statement: [Einat Kalisch-Rotem, hasHyphenatedSurname, Kalisch-Rotem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalisch-Rotem
Context triple: [Einat Kalisch-Rotem, hasHyphenatedSurname, Kalisch-Rotem]
  • A. Kalisch-Rotem chosen
    Kalisch-Rotem is the hyphenated surname of Einat Kalisch-Rotem, an Israeli urban planner and politician who has served as the mayor of Haifa.
  • B. Kienbaum
    Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
  • C. Kleiser
    Kleiser is a surname most notably associated with American film director Randal Kleiser, known for directing the musical romantic comedy "Grease."
  • D. Schwartau
    Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
  • E. Mosina
    Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f54bfb08190a27c0d12731acec2 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550ca6b88190b76cd486bdd66fdf completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.