Triple

T15106283
Position Surface form Disambiguated ID Type / Status
Subject Susan E. Morse E360794 entity
Predicate editedFilm P14416 FINISHED
Object Stardust Memories E644471 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: Stardust Memories | Statement: [Susan E. Morse, editedFilm, Stardust Memories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stardust Memories
Context triple: [Susan E. Morse, editedFilm, Stardust Memories]
  • A. Stardust Memories chosen
    Stardust Memories is a 1980 black-and-white comedy-drama film written and directed by Woody Allen that blends surrealism and introspection in its portrait of a disillusioned filmmaker.
  • B. Stardust
    "Stardust" is a classic popular song, widely regarded as a jazz and American Songbook standard, famously interpreted by Louis Armstrong and many other artists.
  • C. Stardust
    Stardust was a NASA Discovery Program mission that collected and returned samples from the coma of comet Wild 2 and interstellar dust to Earth for detailed laboratory analysis.
  • D. Stardust
    Stardust is a British political organization and campaign group focused on advocating for progressive, pro-European Union policies.
  • E. Stardust
    Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale romance and adventure in a magical realm bordering Victorian England.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00588f35481909674f161bf0f3918 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae28e99881908156909e553c2538 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:05 a.m.