Triple

T4896192
Position Surface form Disambiguated ID Type / Status
Subject If You See Her, Say Hello E109684 entity
Predicate hasTitle P38 FINISHED
Object If You See Her, Say Hello E109684 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: If You See Her, Say Hello | Statement: [If You See Her, Say Hello, hasTitle, If You See Her, Say Hello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: If You See Her, Say Hello
Context triple: [If You See Her, Say Hello, hasTitle, If You See Her, Say Hello]
  • A. If You See Her, Say Hello chosen
    "If You See Her, Say Hello" is a reflective, melancholic Bob Dylan song known for its themes of lost love and emotional distance.
  • B. Tell Her About It
    "Tell Her About It" is a 1983 Motown-influenced pop song by Billy Joel that became a number-one hit on the Billboard Hot 100.
  • C. See You for What You Are
    "See You for What You Are" is a musical track from the Season 7 soundtrack of the HBO television series Game of Thrones, composed by Ramin Djawadi.
  • D. Make Her Say
    "Make Her Say" is a hip-hop single by Kid Cudi featuring Kanye West and Common, known for its playful lyrics and prominent sample of Lady Gaga's "Poker Face."
  • E. Before She Said Hi
    "Before She Said Hi" is a song featured on the album "Evolver."
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2923a081909bd592880b6f399b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc665e08190ae067746d6c19018 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.