Triple

T12815450
Position Surface form Disambiguated ID Type / Status
Subject Don’t Say Goodbye Girl E306384 entity
Predicate title P38 FINISHED
Object Don’t Say Goodbye Girl E306384 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: Don’t Say Goodbye Girl | Statement: [Don’t Say Goodbye Girl, title, Don’t Say Goodbye Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don’t Say Goodbye Girl
Context triple: [Don’t Say Goodbye Girl, title, Don’t Say Goodbye Girl]
  • A. Don’t Say Goodbye Girl chosen
    "Don’t Say Goodbye Girl" is a pop song written by renowned songwriter Gerry Goffin.
  • B. My Girl Has Gone
    "My Girl Has Gone" is a 1965 soul song by Smokey Robinson & the Miracles, co-written and prominently shaped by guitarist Marv Tarplin.
  • C. Please Don't Go Girl
    "Please Don't Go Girl" is a 1988 R&B/pop ballad by New Kids on the Block that became their first major hit and helped launch the group to mainstream success.
  • D. Goodnight Girl
    "Goodnight Girl" is a 1992 soft rock ballad by Scottish band Wet Wet Wet that became one of their most successful and recognizable hit singles.
  • E. Looking for the Girl
    "Looking for the Girl" is a short story by Neil Gaiman, featured in his collection *Smoke and Mirrors*, that blends dark fantasy with themes of obsession and memory.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9beb30819097c256a5aab9a4c8 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecc83b88190a6f1ab0bb1ebaf76 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.