Triple

T11235556
Position Surface form Disambiguated ID Type / Status
Subject Emmanuelle Seigner E265931 entity
Predicate notableCollaboration P8554 FINISHED
Object Bitter Moon E265927 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: Bitter Moon | Statement: [Emmanuelle Seigner, notableCollaboration, Bitter Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitter Moon
Context triple: [Emmanuelle Seigner, notableCollaboration, Bitter Moon]
  • A. Bitter Moon chosen
    Bitter Moon is a 1992 erotic psychological drama film directed by Roman Polanski that explores obsessive love and destructive relationships.
  • B. The Hungry Moon
    The Hungry Moon is a horror novel by British author Ramsey Campbell that blends folk horror and psychological dread in a story about a remote English village under the sway of a sinister religious and supernatural force.
  • C. Two Moons
    Two Moons was a Northern Cheyenne chief and war leader known for his role in several key conflicts of the Great Sioux War of 1876–77, including the Battle of the Little Bighorn.
  • D. Dangerous Moonlight
    Dangerous Moonlight is a 1941 British war film and romantic drama about a Polish pianist and fighter pilot during World War II.
  • E. Blind Moon
    Blind Moon is a novel by Zimbabwean writer Chenjerai Hove that explores the social and political struggles of post-independence Zimbabwe through lyrical, introspective prose.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3eca6bc8190bc0640353a505ad5 completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:30 p.m.