Triple

T17889836
Position Surface form Disambiguated ID Type / Status
Subject Threesome E447285 entity
Predicate title P38 FINISHED
Object Threesome 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: Threesome | Statement: [Threesome, title, Threesome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Threesome
Context triple: [Threesome, title, Threesome]
  • A. Threesome chosen
    Threesome is a 1994 American romantic comedy film written and directed by Andrew Fleming that explores the complicated relationship dynamics among three college roommates who become romantically and sexually involved.
  • B. Threeways
    Threeways is a remote road junction locality in Australia’s Northern Territory where major highways intersect, serving as a key stopover for outback travelers.
  • C. Triple Trouble
    "Triple Trouble" is a track by the Beastie Boys from their hip-hop album *To the 5 Boroughs*.
  • D. Triplets
    Triplets is a professional 3-on-3 basketball team that competes in the BIG3 league.
  • E. Ménage à Trois: Sextape Vol. 1, 2, 3
    Ménage à Trois: Sextape Vol. 1, 2, 3 is a multi-part R&B project by singer-songwriter The-Dream that showcases his sensual, concept-driven slow jams across three volumes.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7828b481909b645fceb37a7ca3 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:18 a.m.