Triple

T9570812
Position Surface form Disambiguated ID Type / Status
Subject Rebecca "Becky" Schlapp E230910 entity
Predicate relativeByMarriage P7844 FINISHED
Object Ali Rogin E351669 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: Ali Rogin | Statement: [Rebecca "Becky" Schlapp, relativeByMarriage, Ali Rogin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Rogin
Context triple: [Rebecca "Becky" Schlapp, relativeByMarriage, Ali Rogin]
  • A. Michael Aronov
    Michael Aronov is an American actor known for his work in film, television, and theater, including a role in the historical drama "Operation Finale."
  • B. Sam Zvibleman
    Sam Zvibleman is a filmmaker and television writer-director best known for co-creating and directing the coming-of-age comedy series "PEN15."
  • C. Marc Roskin
    Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
  • D. Ali Weinberg chosen
    Ali Weinberg is an American journalist and television news producer known for her work covering politics for major U.S. news networks.
  • E. Dov Frohman
    Dov Frohman is an Israeli engineer and inventor best known for pioneering the EPROM (erasable programmable read-only memory) and for his leadership role at Intel Israel.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998ab5948190be78db4eed7825a0 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152ba8f8081908b11c3c098e7e5f0 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.