Triple

T12877185
Position Surface form Disambiguated ID Type / Status
Subject Gina Gershon E307998 entity
Predicate notableWork P4 FINISHED
Object Palmetto E202240 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: Palmetto | Statement: [Gina Gershon, notableWork, Palmetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmetto
Context triple: [Gina Gershon, notableWork, Palmetto]
  • A. Palmetto chosen
    Palmetto is a long-distance Amtrak passenger train service operating along the U.S. East Coast between New York City and Savannah, Georgia.
  • B. Palmetto, Florida
    Palmetto, Florida is a small coastal city on the Gulf Coast known for its historic downtown, waterfront parks, and location along the Manatee River.
  • C. Sumter
    Sumter is a surname of English origin most notably associated with several prominent American historical figures and families.
  • D. Esto, Florida
    Esto, Florida is a small rural town located in Holmes County in the Florida Panhandle near the Alabama state line.
  • E. Atala
    Atala is a romantic novella by François-René de Chateaubriand that helped inaugurate French Romanticism through its exotic American setting and themes of passion, religion, and tragic love.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.