Triple

T10023819
Position Surface form Disambiguated ID Type / Status
Subject Louise Brown E200675 entity
Predicate name P16 FINISHED
Object Louise Brown E200675 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: Louise Brown | Statement: [Louise Brown, name, Louise Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Brown
Context triple: [Louise Brown, name, Louise Brown]
  • A. Louise Brown chosen
    Louise Brown is best known as the world's first baby born through in vitro fertilization (IVF), marking a major milestone in reproductive medicine.
  • B. Louis Brown
    Louis Brown was a notable individual significant enough in sports or local history to have Rutgers University's primary basketball arena named in his honor.
  • C. Laura Mae Bullivant
    Laura Mae Bullivant was the wife of American character actor Dwight Frye, known for his roles in classic horror films such as Dracula and Frankenstein.
  • D. Susan Elizabeth Darwin
    Susan Elizabeth Darwin was a daughter of the English physician Robert Darwin and a member of the prominent Darwin family of Shrewsbury.
  • E. Dolly the sheep
    Dolly the sheep was the first mammal successfully cloned from an adult somatic cell, becoming a landmark figure in biotechnology and genetics.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7c75548190aa604d90d63dc111 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26abb0ab08190b5bcf101c5680f3c completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:53 p.m.