Triple

T20374703
Position Surface form Disambiguated ID Type / Status
Subject L.A.M.F. E497661 entity
Predicate hasTrack P3284 FINISHED
Object Born to Lose 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: Born to Lose | Statement: [L.A.M.F., hasTrack, Born to Lose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Born to Lose
Context triple: [L.A.M.F., hasTrack, Born to Lose]
  • A. Born to Lose chosen
    "Born to Lose" is a signature punk rock song by Johnny Thunders and the Heartbreakers, emblematic of the raw, rebellious New York punk scene of the 1970s.
  • B. Nothing to Lose
    Nothing to Lose is a thriller novel by Lee Child featuring his iconic drifter hero Jack Reacher as he investigates a sinister conspiracy in two neighboring Colorado towns.
  • C. Nothing to Lose
    "Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
  • D. Nothing to Lose
    Nothing to Lose is a 1997 American buddy comedy film starring Tim Robbins and Martin Lawrence, written and directed by Steve Oedekerk.
  • E. Losing It
    "Losing It" is a popular song by Canadian country duo R. City that showcases their blend of Caribbean-influenced pop and contemporary R&B.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678abae8881908d7752f45a82857f completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.