Triple

T2500771
Position Surface form Disambiguated ID Type / Status
Subject Louisa Jacobson E52458 entity
Predicate birthName P65 FINISHED
Object Louisa Jacobson Gummer E250094 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: Louisa Jacobson Gummer | Statement: [Louisa Jacobson, birthName, Louisa Jacobson Gummer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisa Jacobson Gummer
Context triple: [Louisa Jacobson, birthName, Louisa Jacobson Gummer]
  • A. Louisa Gummer chosen
    Louisa Gummer is an American model and the daughter of actress Meryl Streep, known for her work in high-fashion campaigns and runway shows.
  • B. Elizabeth Browne
    Elizabeth Browne was the wife of Robert Rogers, the famed 18th-century American frontiersman and leader of Rogers' Rangers.
  • C. Elizabeth Browne
    Elizabeth Browne was the wife of the pioneering English physician William Harvey, known for his discovery of the circulation of blood.
  • D. Josephine Crowe
    Josephine Crowe is a notable individual associated with the Crowe surname, recognized as a distinguished bearer of that family name.
  • E. Emily Trevelyan
    Emily Trevelyan is a central fictional character in Anthony Trollope’s novel "He Knew He Was Right," whose troubled marriage and emotional struggles drive much of the story’s drama.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1b144a481909b1f8d96742a92e7 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8bc7708190a507136d1f9f34ca completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.