Triple

T3802910
Position Surface form Disambiguated ID Type / Status
Subject Marek Edelman E91732 entity
Predicate fullName P16 FINISHED
Object Marek Edelman E91732 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: Marek Edelman | Statement: [Marek Edelman, fullName, Marek Edelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marek Edelman
Context triple: [Marek Edelman, fullName, Marek Edelman]
  • A. Marek Edelman chosen
    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.
  • B. Louis Bakanowsky
    Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
  • C. Tzvika Brot
    Tzvika Brot is an Israeli politician who serves as the mayor of the coastal city of Bat Yam.
  • D. Shmuel Shtrikman
    Shmuel Shtrikman was an Israeli physicist renowned for his influential contributions to condensed matter physics and materials science.
  • E. Benno Levin
    Benno Levin is a mysterious, mentally unstable stalker and would-be assassin who obsessively pursues billionaire asset manager Eric Packer in Don DeLillo’s novel "Cosmopolis."
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bacf2881908198a77063d15d16 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589bcbce88190b97b9dcec8a976f4 completed March 14, 2026, 4:15 p.m.
Created at: March 9, 2026, 3:15 p.m.