Triple

T3373281
Position Surface form Disambiguated ID Type / Status
Subject Game of Thrones season 7 E71003 entity
Predicate productionCompany P490 FINISHED
Object Generator Entertainment E340459 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: Generator Entertainment | Statement: [Game of Thrones season 7, productionCompany, Generator Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Generator Entertainment
Context triple: [Game of Thrones season 7, productionCompany, Generator Entertainment]
  • A. Generator Entertainment chosen
    Generator Entertainment is a television production company known for its involvement in high-profile series such as the first season of "Game of Thrones."
  • B. Gerar
    Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
  • C. Imagine Entertainment
    Imagine Entertainment is a prominent American film and television production company known for producing acclaimed movies and series across a wide range of genres.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bdcf70819087fc7e00fbd61e0d completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33442f28c8190b48a662a5dd1bac3 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.