Triple

T13780309
Position Surface form Disambiguated ID Type / Status
Subject Sky Studios E331114 entity
Predicate produced P490 FINISHED
Object Save Me E817259 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: Save Me | Statement: [Sky Studios, produced, Save Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Save Me
Context triple: [Sky Studios, produced, Save Me]
  • A. Save Me
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • B. Save Me
    "Save Me" is a 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
  • C. Save Me
    "Save Me" is a critically acclaimed song by American singer-songwriter Aimee Mann, best known for its prominent use in the film *Magnolia* and its nomination for the Academy Award for Best Original Song.
  • D. Save Me chosen
    Save Me is a British drama television series created by and starring Lennie James, centered on a father's desperate search for his missing daughter.
  • E. Save Me
    "Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d4af2081909628c1691e073f6f completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.