Triple

T19668498
Position Surface form Disambiguated ID Type / Status
Subject A Few Stars Apart E472265 entity
Predicate hasPart P35 FINISHED
Object More Than We Can Handle 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: More Than We Can Handle | Statement: [A Few Stars Apart, hasPart, More Than We Can Handle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: More Than We Can Handle
Context triple: [A Few Stars Apart, hasPart, More Than We Can Handle]
  • A. More Than We Can Handle chosen
    "More Than We Can Handle" is a song featured on the album "Naked Garden" by the Tedeschi Trucks Band.
  • B. More Than I Can Bear
    "More Than I Can Bear" is a contemporary gospel song popularized by Kirk Franklin and God’s Property, known for its uplifting message about God’s sustaining power through hardship.
  • C. More Than We Know
    "More Than We Know" is a song featured on the album "Here."
  • D. More Than Ever
    More Than Ever is a song by American musician Matthew Nelson, known as part of the pop rock duo Nelson.
  • E. More Than Anything
    "More Than Anything" is a gospel song by the choir Jesus Is Born, known for its worshipful lyrics expressing deep love and devotion to God.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416a10e4819087ad59fcdb4f058a completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.