Triple

T16782458
Position Surface form Disambiguated ID Type / Status
Subject The Estate (2022 film) E407888 entity
Predicate character P662 FINISHED
Object Savannah E620303 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: Savannah | Statement: [The Estate (2022 film), character, Savannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savannah
Context triple: [The Estate (2022 film), character, Savannah]
  • A. Savannah
    Savannah is a historic coastal city in the U.S. state of Georgia, renowned for its well-preserved architecture, cobblestone squares, and rich Southern cultural heritage.
  • B. Savannah chosen
    Savannah is a feminine given name of Spanish origin meaning "treeless plain," commonly used in English-speaking countries.
  • C. Savannah
    Savannah is a residential district and one of the main suburban communities on Grand Cayman in the Cayman Islands.
  • D. Savannah
    Savannah is an American television drama series produced by Spelling Television that follows the intertwined lives and secrets of three young women in the Southern city of Savannah, Georgia.
  • E. Savannah
    Savannah is a free software hosting platform run by the GNU Project and the Free Software Foundation for managing and developing open-source projects.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b217b2108190bbba262a3b324509 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab056dc88190aeb9e135ae955125 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.