Triple

T10414881
Position Surface form Disambiguated ID Type / Status
Subject Okieriete Onaodowan E245488 entity
Predicate appearedIn P795 FINISHED
Object Thanks for Sharing E856520 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: Thanks for Sharing | Statement: [Okieriete Onaodowan, appearedIn, Thanks for Sharing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanks for Sharing
Context triple: [Okieriete Onaodowan, appearedIn, Thanks for Sharing]
  • A. Thanks for Sharing chosen
    "Thanks for Sharing" is a 2012 ensemble dramedy film about a group of people in a sex addiction recovery program, starring Mark Ruffalo, Gwyneth Paltrow, and Tim Robbins.
  • B. Share and Enjoy
    "Share and Enjoy" is the notoriously ironic and malfunction-associated company slogan of the fictional Sirius Cybernetics Corporation in Douglas Adams' *The Hitchhiker’s Guide to the Galaxy* series.
  • C. Thanks
    "Thanks" is a film featuring Erika Christensen in a notable role.
  • D. Gracias
    Gracias is a historic colonial town in western Honduras known for its preserved architecture and proximity to the Celaque National Park and Cerro Las Minas.
  • E. Thank U
    "Thank U" is a reflective alternative rock song by Alanis Morissette, known for its introspective lyrics about gratitude and personal growth.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0f7d188190a60a7c3832c51515 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc043074819083d219ec1c40f931 completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:10 p.m.