Triple

T15815133
Position Surface form Disambiguated ID Type / Status
Subject Lyceum Theatre E383454 entity
Predicate associatedWith P37 FINISHED
Object Henry Irving E44111 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: Henry Irving | Statement: [Lyceum Theatre, associatedWith, Henry Irving]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Irving
Context triple: [Lyceum Theatre, associatedWith, Henry Irving]
  • A. Henry Irving chosen
    Henry Irving was a renowned 19th-century English stage actor and theatre manager, celebrated as one of the first great modern actors and the first actor to be knighted in Britain.
  • B. George Irving
    George Irving was an American film and stage actor and director active during the early 20th century silent and early sound eras.
  • C. Henry Siddons
    Henry Siddons was the son of famed 18th-century tragedienne Sarah Siddons and became a British actor and theatre manager in his own right.
  • D. Charles Kean
    Charles Kean was a prominent 19th-century English actor and theatre manager renowned for his historically detailed Shakespearean productions.
  • E. Allan Manings
    Allan Manings was an American television writer and producer known for his work on influential sitcoms in the 1970s and 1980s.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a219508190b8588120ec415ac7 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99959f048190ae24a072387ec233 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.