Triple

T15358203
Position Surface form Disambiguated ID Type / Status
Subject Olivia Munn E367216 entity
Predicate appearedIn P795 FINISHED
Object Perfect Couples E295080 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: Perfect Couples | Statement: [Olivia Munn, appearedIn, Perfect Couples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perfect Couples
Context triple: [Olivia Munn, appearedIn, Perfect Couples]
  • A. Perfect Couples chosen
    Perfect Couples is an American television sitcom that follows the romantic misadventures of three very different couples navigating modern relationships.
  • B. Perfectly Lovely Couple
    "Perfectly Lovely Couple" is a song by renowned American composer Richard Rodgers, exemplifying his melodic Broadway and popular music style.
  • C. Couplehood
    "Couplehood" is a humorous essay collection by comedian and actor Paul Reiser that explores the quirks and challenges of romantic relationships.
  • D. A Perfect Match
    "A Perfect Match" is a pop song by Swedish teen pop group A-Teens, known for its catchy melody and upbeat, dance-oriented production.
  • E. A Perfect Couple
    A Perfect Couple is a 1979 romantic comedy film directed by Robert Altman that explores an unlikely relationship between two mismatched singles who meet through a video dating service.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b47f20081909ef7b077458d1510 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.