Triple

T600965
Position Surface form Disambiguated ID Type / Status
Subject Peterhof Palace E11490 entity
Predicate hasPart P35 FINISHED
Object Adam Fountain
Adam Fountain is an ornate sculptural water feature in the gardens of Peterhof Palace, notable for its classical figures and elaborate water displays.
E95880 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: Adam Fountain | Statement: [Peterhof Palace, hasPart, Adam Fountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Fountain
Context triple: [Peterhof Palace, hasPart, Adam Fountain]
  • A. Sam Wheeler
    Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
  • B. Jack Driscoll
    Jack Driscoll is a central heroic character in the 1933 film "King Kong," serving as the ship's first mate and the primary human protagonist who helps rescue Ann Darrow from the giant ape.
  • C. Jason Hudson
    Jason Hudson was the brother of singer and actress Jennifer Hudson, tragically murdered in a widely publicized 2008 family shooting in Chicago.
  • D. Andrew Dunn
    Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
  • E. Vincent Gaddis
    Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
  • 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: Adam Fountain
Triple: [Peterhof Palace, hasPart, Adam Fountain]
Generated description
Adam Fountain is an ornate sculptural water feature in the gardens of Peterhof Palace, notable for its classical figures and elaborate water displays.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adam Fountain
Target entity description: Adam Fountain is an ornate sculptural water feature in the gardens of Peterhof Palace, notable for its classical figures and elaborate water displays.
  • A. Sam Wheeler
    Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
  • B. Jack Driscoll
    Jack Driscoll is a central heroic character in the 1933 film "King Kong," serving as the ship's first mate and the primary human protagonist who helps rescue Ann Darrow from the giant ape.
  • C. Jason Hudson
    Jason Hudson was the brother of singer and actress Jennifer Hudson, tragically murdered in a widely publicized 2008 family shooting in Chicago.
  • D. Andrew Dunn
    Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
  • E. Vincent Gaddis
    Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d7a2180819086c7e9465a2d7432 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d69ade481909322f5f28f0050e4 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78257f9988190a04b8d764d820194 completed March 4, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69a78337cd4c8190bce8a0716a6e85e4 completed March 4, 2026, 12:56 a.m.
Created at: March 1, 2026, 7:35 p.m.