Triple

T6546621
Position Surface form Disambiguated ID Type / Status
Subject Russell Square station E151024 entity
Predicate architect P184 FINISHED
Object Leslie Green E601413 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: Leslie Green | Statement: [Russell Square station, architect, Leslie Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Green
Context triple: [Russell Square station, architect, Leslie Green]
  • A. Leslie Green chosen
    Leslie Green was an early 20th-century British architect best known for designing many of the distinctive red-tiled London Underground stations.
  • B. Gordon Jennings
    Gordon Jennings was an American special effects artist renowned for his pioneering visual effects work in mid-20th-century Hollywood science fiction and adventure films.
  • C. Douglas Hadow
    Douglas Hadow was a young British mountaineer best known for being among the party on the first ascent of the Matterhorn in 1865, during which he died in a famous climbing accident on the descent.
  • D. Frank Parkinson
    Frank Parkinson was a prominent British industrialist and philanthropist whose contributions to education led to major university buildings being named in his honor.
  • E. Robert Luce
    Robert Luce was an American politician and author who served as a U.S. Representative from Massachusetts in the early 20th century.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6adf00aa48190a86a9ad4795363d9 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d54b6d8c819083595375194aee12 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:50 p.m.