Triple

T5069709
Position Surface form Disambiguated ID Type / Status
Subject Crimpshrine E114242 entity
Predicate scenePeers P6215 FINISHED
Object Sweet Baby E490660 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: Sweet Baby | Statement: [Crimpshrine, scenePeers, Sweet Baby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Baby
Context triple: [Crimpshrine, scenePeers, Sweet Baby]
  • A. Sweet Baby chosen
    Sweet Baby was a late-1980s East Bay pop-punk band known for its melodic, upbeat sound and association with the Berkeley punk scene.
  • B. Sugar Baby
    "Sugar Baby" is a country song by the American duo Love and Theft, featured on their self-titled 2012 album.
  • C. Sugar Babydoll
    Sugar Babydoll was an early band associated with Courtney Love that served as a precursor to her later, more famous group Hole.
  • D. Someday Baby
    "Someday Baby" is a modern electric blues song by Bob Dylan, featured on his 2006 album *Modern Times* and based on the traditional blues number "Worried Life Blues."
  • E. Sweetie
    Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cb8d2c8190a0f7c574a177091a completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10bb740819099797240c9f35eb9 completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.