Triple

T22469259
Position Surface form Disambiguated ID Type / Status
Subject Marie Pauline E555449 entity
Predicate hasComponent P35 FINISHED
Object Marie NE NERFINISHED

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: Marie | Statement: [Marie Pauline, hasComponent, Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie
Context triple: [Marie Pauline, hasComponent, Marie]
  • A. Marie
    "Marie" is a 1985 biographical drama film directed by Roger Donaldson, depicting the true story of whistleblower Marie Ragghianti’s fight against political corruption in Tennessee.
  • B. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • C. Marie
    "Marie" is a popular jazz and big band standard composed by Thomas "Tommy" Dorsey that became one of his signature recordings.
  • D. Marie
    Marie is one of the Squid Sisters, a popular idol duo from Nintendo’s Splatoon series known for hosting in-game news and events.
  • E. Marie chosen
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15bdeae9c8190a5b66e540484db37 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.