Triple

T13333447
Position Surface form Disambiguated ID Type / Status
Subject Society for Psychical Research E317627 entity
Predicate hasMember P10 FINISHED
Object Maurice Grosse E748242 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: Maurice Grosse | Statement: [Society for Psychical Research, hasMember, Maurice Grosse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice Grosse
Context triple: [Society for Psychical Research, hasMember, Maurice Grosse]
  • A. Maurice Grosse chosen
    Maurice Grosse was a British paranormal investigator best known for his prominent role in examining the Enfield Poltergeist case in the late 1970s.
  • B. Maurice Meister
    Maurice Meister is a fictional character appearing in the 1952 British crime film "The Ringer," adapted from Edgar Wallace’s popular stage play.
  • C. Maurice Bernhardt
    Maurice Bernhardt was the son of famed French actress Sarah Bernhardt and a French writer and playwright in his own right.
  • D. Oskar Pfister
    Oskar Pfister was a Swiss Reformed pastor and pioneering psychoanalyst known for integrating Freudian psychoanalysis with Christian theology and pastoral care.
  • E. Bernard Zehrfuss
    Bernard Zehrfuss was a prominent 20th-century French architect known for his modernist public and institutional buildings.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7266f70088190a518e273af507361 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:30 p.m.