Triple

T1920794
Position Surface form Disambiguated ID Type / Status
Subject Tunnel of Love E40119 entity
Predicate notableSingle P3283 FINISHED
Object Brilliant Disguise E216581 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: Brilliant Disguise | Statement: [Tunnel of Love, notableSingle, Brilliant Disguise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brilliant Disguise
Context triple: [Tunnel of Love, notableSingle, Brilliant Disguise]
  • A. Brilliant Disguise chosen
    "Brilliant Disguise" is a 1987 song by Bruce Springsteen, known for its introspective lyrics about love, doubt, and identity.
  • B. The Master of Disguise
    The Master of Disguise is a 1990 nonfiction book by former CIA officer Antonio J. Mendez recounting his covert operations and expertise in espionage tradecraft.
  • C. Angel in Disguise
    "Angel in Disguise" is a song featured on Brandy's 1998 R&B album "Never Say Never."
  • D. Smoke and Mirrors
    "Smoke and Mirrors" is a collection of dark fantasy and speculative short stories by Neil Gaiman that blends myth, horror, and contemporary life.
  • E. Disappearing Acts
    Disappearing Acts is a contemporary romance and drama novel by Terry McMillan that explores the complexities of love, ambition, and personal growth between two struggling New Yorkers.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb231de14819091da3a20ed03c430 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb0be848190a492ed8fa3b600ea completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.