Triple

T21743525
Position Surface form Disambiguated ID Type / Status
Subject John Sayles E536724 entity
Predicate directed P7373 FINISHED
Object Sunshine State
Sunshine State is a 2002 independent drama film by John Sayles that explores race, development, and community tensions in a changing Florida coastal town.
 E1501620 NE FINISHED

How this triple was built (4 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: Sunshine State | Statement: [John Sayles, directed, Sunshine State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sunshine State
Context triple: [John Sayles, directed, Sunshine State]
  • A. Sunshine State
    The Sunshine State is the popular nickname for the U.S. state of Florida, known for its warm climate, beaches, and tourism.
  • B. Sunflower State
    The Sunflower State is the popular nickname for Kansas, a U.S. state known for its vast plains and fields of sunflowers.
  • C. Peach State
    Peach State is a popular nickname for the U.S. state of Georgia, referencing its reputation for producing high-quality peaches.
  • D. SUNSTATE
    SUNSTATE is the radio callsign used by Sunstate Airlines, a regional carrier operating under the QantasLink brand in Australia.
  • E. Florida
    Florida is a residential suburb of Roodepoort in Gauteng, South Africa, known for its lakes, schools, and commuter access to Johannesburg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sunshine State
Triple: [John Sayles, directed, Sunshine State]
Generated description
Sunshine State is a 2002 independent drama film by John Sayles that explores race, development, and community tensions in a changing Florida coastal town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sunshine State
Target entity description: Sunshine State is a 2002 independent drama film by John Sayles that explores race, development, and community tensions in a changing Florida coastal town.
  • A. Sunshine State
    The Sunshine State is the popular nickname for the U.S. state of Florida, known for its warm climate, beaches, and tourism.
  • B. Sunflower State
    The Sunflower State is the popular nickname for Kansas, a U.S. state known for its vast plains and fields of sunflowers.
  • C. Peach State
    Peach State is a popular nickname for the U.S. state of Georgia, referencing its reputation for producing high-quality peaches.
  • D. SUNSTATE
    SUNSTATE is the radio callsign used by Sunstate Airlines, a regional carrier operating under the QantasLink brand in Australia.
  • E. Florida
    Florida is a residential suburb of Roodepoort in Gauteng, South Africa, known for its lakes, schools, and commuter access to Johannesburg.
  • F. None of above. chosen

Provenance (5 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a74592c8190959af631d72df479 completed April 28, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a366c5cd08190a7e39fdf5983d944 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a3b1a42188190920c813ca0b1c38a completed May 17, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0a3b8c2a388190bc4fa7c605458e77 completed May 17, 2026, 10:05 p.m.
Created at: April 16, 2026, 6:49 p.m.