Triple

T18337484
Position Surface form Disambiguated ID Type / Status
Subject Just Married E439309 entity
Predicate title P38 FINISHED
Object Just Married 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: Just Married | Statement: [Just Married, title, Just Married]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Just Married
Context triple: [Just Married, title, Just Married]
  • A. Just Married chosen
    "Just Married" is a 2003 romantic comedy film starring Ashton Kutcher and Brittany Murphy about a young couple whose disastrous European honeymoon tests their new marriage.
  • B. Let’s Get Married
    "Let’s Get Married" is a popular R&B single by the group Jagged Edge, produced by Jermaine Dupri, that became one of the defining slow jams of early-2000s urban music.
  • C. Let’s Get Married
    "Let’s Get Married" is a romantic pop song by Scottish duo The Proclaimers, known for its heartfelt lyrics about commitment and devotion.
  • D. When We Are Married
    "When We Are Married" is a 1938 comic play by English dramatist J. B. Priestley that follows three respectable couples whose social standing is thrown into chaos when they discover their marriages may not be legally valid.
  • E. For My Wedding
    "For My Wedding" is an episode of the animated conspiracy-comedy series *Inside Job*, following the show's characters through a storyline centered on a wedding-related plot.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ece387881909a5da0aa4370489c completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.