Triple

T13549578
Position Surface form Disambiguated ID Type / Status
Subject Abi Morgan E323606 entity
Predicate notableWork P4 FINISHED
Object Sex Traffic E501041 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: Sex Traffic | Statement: [Abi Morgan, notableWork, Sex Traffic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sex Traffic
Context triple: [Abi Morgan, notableWork, Sex Traffic]
  • A. Sex Traffic
    Sex Traffic is a 2004 British-Canadian television drama miniseries that explores the brutal realities of international human trafficking and sexual exploitation.
  • B. Sex Traffic (TV serial) chosen
    Sex Traffic is a British television drama miniseries that explores the exploitation and abuse of women caught in international human trafficking networks.
  • C. The Traffic in Women
    "The Traffic in Women" is an essay by anarchist writer Emma Goldman that critiques the social, economic, and moral conditions underpinning prostitution and the exploitation of women.
  • D. Traffic Division
    The Traffic Division is the specialized unit of the Portland Police Bureau responsible for enforcing traffic laws, investigating collisions, and promoting roadway safety within the city.
  • E. Traffic Division
    The Traffic Division is a specialized unit within the Superior Court of Guam that handles cases and violations related to traffic laws and regulations.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.