Triple

T7683036
Position Surface form Disambiguated ID Type / Status
Subject John Laurens E174042 entity
Predicate educatedAt P5 FINISHED
Object Middle Temple E19935 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: Middle Temple | Statement: [John Laurens, educatedAt, Middle Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middle Temple
Context triple: [John Laurens, educatedAt, Middle Temple]
  • A. Middle Temple chosen
    Middle Temple is one of the four historic Inns of Court in London, serving as a professional association and training body for barristers in England and Wales.
  • B. Inner Temple
    Inner Temple is one of the four historic Inns of Court in London, serving as a professional association and training institution for barristers in England and Wales.
  • C. Lincoln's Inn
    Lincoln's Inn is one of the four historic Inns of Court in London, serving as a professional association and training institution for barristers in England and Wales.
  • D. Gray's Inn
    Gray's Inn is one of the four historic Inns of Court in London, serving as a professional association and training institution for barristers in England and Wales.
  • E. Outer Temple
    Outer Temple is one of the historic Inns of Court in London, traditionally associated with the legal profession and situated near the Inner Temple.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7021ce1308190be58d17ebaafa6ae completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac9e0cd081909b404f6a7e978f6b completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 4:01 p.m.