Triple

T10507831
Position Surface form Disambiguated ID Type / Status
Subject Maurice Strong E247830 entity
Predicate givenName P17 FINISHED
Object Maurice E44841 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 | Statement: [Maurice Strong, givenName, Maurice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice
Context triple: [Maurice Strong, givenName, Maurice]
  • A. Maurice chosen
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • B. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • C. Maurice
    Maurice is a cautious, level-headed aye-aye who serves as King Julien’s loyal advisor and caretaker in the animated Penguins of Madagascar universe.
  • D. Marcel
    Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
  • E. Marcel
    Marcel is a masculine given name of French origin, commonly used in various European countries.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b287ac8190805a2375bd16b7ae completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dce30d788190b4a40340b9200b10 completed April 10, 2026, 11:20 a.m.
Created at: April 6, 2026, 12:26 p.m.