Triple

T5730818
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Parish E126378 entity
Predicate notableWork P4 FINISHED
Object Stardust E22936 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 | Statement: [Mitchell Parish, notableWork, Stardust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stardust
Context triple: [Mitchell Parish, notableWork, Stardust]
  • A. Stardust chosen
    "Stardust" is a classic popular song, widely regarded as a jazz and American Songbook standard, famously interpreted by Louis Armstrong and many other artists.
  • B. Stardust
    Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale romance and adventure in a magical realm bordering Victorian England.
  • C. "Stardust"
    "Stardust" is a catchy, piano-driven pop song by Mika known for its romantic lyrics and melodic, upbeat style.
  • D. Starlight
    Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
  • E. Starlight
    Starlight was the original name of a long-distance passenger train route that later became known as Amtrak’s Coast Starlight, running along the U.S. West Coast.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025318d688190bd878c5aa1a28728 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a8cca748190b471c842fd2ce218 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.