Triple

T8007708
Position Surface form Disambiguated ID Type / Status
Subject So Much More E186404 entity
Predicate hasTitle P38 FINISHED
Object So Much More E186404 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: So Much More | Statement: [So Much More, hasTitle, So Much More]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: So Much More
Context triple: [So Much More, hasTitle, So Much More]
  • A. So Much More chosen
    "So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
  • B. Something More
    "Something More" is the marketing slogan used by the American cable television network AMC to convey its expanded, premium entertainment brand identity.
  • C. So Much Love
    "So Much Love" is a soul song written by Gerry Goffin (with Carole King) that has been widely covered by artists such as Ben E. King and Dusty Springfield.
  • 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. To Love You More
    "To Love You More" is a power ballad by Celine Dion that became one of her signature hits, especially popular in Japan and known for its dramatic violin accompaniment.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6e1c9081909018bcebb18906f6 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5697ac9081909fe7ca06d0c3ef38 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:18 p.m.