Triple

T8893261
Position Surface form Disambiguated ID Type / Status
Subject Feeling Is Believing E211737 entity
Predicate hasTrack P3284 FINISHED
Object Strangers in the Night E121154 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: Strangers in the Night | Statement: [Feeling Is Believing, hasTrack, Strangers in the Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Strangers in the Night
Context triple: [Feeling Is Believing, hasTrack, Strangers in the Night]
  • A. Strangers in the Night chosen
    "Strangers in the Night" is a 1966 pop standard famously performed by Frank Sinatra that became one of his signature hits and won multiple Grammy Awards.
  • B. Wait Until Dark
    Wait Until Dark is a 1967 suspense thriller film about a blind woman terrorized by criminals searching for hidden drugs in her apartment.
  • C. Somewhere in the Night
    "Somewhere in the Night" is a romantic pop ballad popularized by Barry Manilow, known for its lush orchestration and emotive vocal performance.
  • D. Somewhere in the Night
    "Somewhere in the Night" is a song featured on the album "The Doctor Came at Dawn" by American singer-songwriter Bill Callahan under his Smog moniker.
  • E. Hold Back the Night
    Hold Back the Night is a 1956 American war film, based on a novel by Pat Frank, that follows a U.S. Marine unit during the Korean War.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61bb46c881909e579bb1926e5204 completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabf795b08190bb4c45d6ede3b8b4 completed April 3, 2026, noon
Created at: March 30, 2026, 6:54 p.m.