Triple

T18793759
Position Surface form Disambiguated ID Type / Status
Subject Pare Lorentz E459579 entity
Predicate spouse P13 FINISHED
Object Elizabeth Meyer Lorentz NE NERFINISHED

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: Elizabeth Meyer Lorentz | Statement: [Pare Lorentz, spouse, Elizabeth Meyer Lorentz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Meyer Lorentz
Context triple: [Pare Lorentz, spouse, Elizabeth Meyer Lorentz]
  • A. Elizabeth Meyer Lorentz chosen
    Elizabeth Meyer Lorentz was the daughter of American financier and Washington Post publisher Eugene Meyer and a member of the prominent Meyer family.
  • B. Gertrude Elles
    Gertrude Elles was a pioneering British geologist and paleontologist known for her influential work on graptolites and contributions to stratigraphy.
  • C. Elise Ecklund
    Elise Ecklund is an American YouTuber and musician known for her ukulele covers, original songs, and humorous music-related content.
  • D. Gertrude Bregman
    Gertrude Bregman was the wife of American character actor Jonathan Harris, known for his role as Dr. Zachary Smith on the television series "Lost in Space."
  • E. Elisabeth Vietz
    Elisabeth Vietz is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a01cc0c0819098ef4326e82ff524 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.