Triple

T17747203
Position Surface form Disambiguated ID Type / Status
Subject Remy Zero E443018 entity
Predicate notableWork P4 FINISHED
Object Save Me NE NERFINISHED

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: [Remy Zero, notableWork, Save Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Save Me
Context triple: [Remy Zero, notableWork, Save Me]
  • A. 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.
  • B. Save Me chosen
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • 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 popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad33160819093c9bbd3c8957314 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:10 a.m.