Triple

T14081260
Position Surface form Disambiguated ID Type / Status
Subject Welcome to the Freakshow E338873 entity
Predicate hasTrack P3284 FINISHED
Object Save Me E443017 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: [Welcome to the Freakshow, hasTrack, Save Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Save Me
Context triple: [Welcome to the Freakshow, hasTrack, Save Me]
  • A. Save Me chosen
    "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 British drama television series created by and starring Lennie James, centered on a father's desperate search for his missing daughter.
  • C. Save Me
    "Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
  • D. 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.
  • E. 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.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6749c3c81909833a0b6ddcae3fb completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.