Triple

T3759959
Position Surface form Disambiguated ID Type / Status
Subject Danny Ocean E82136 entity
Predicate associatedWith P37 FINISHED
Object Livingston Dell
Livingston Dell is a nervous but highly skilled electronics and surveillance expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
E385765 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: Livingston Dell | Statement: [Danny Ocean, associatedWith, Livingston Dell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livingston Dell
Context triple: [Danny Ocean, associatedWith, Livingston Dell]
  • A. Bella Vista
    Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
  • B. Bella Vista
    Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
  • C. Villa Rica
    Villa Rica is a small city in western Georgia historically known as one of the earliest gold-mining boom towns in the United States.
  • D. Livingston
    Livingston is a small city in western Alabama known as the home of the University of West Alabama.
  • E. Livingston
    Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
  • 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: Livingston Dell
Triple: [Danny Ocean, associatedWith, Livingston Dell]
Generated description
Livingston Dell is a nervous but highly skilled electronics and surveillance expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Livingston Dell
Target entity description: Livingston Dell is a nervous but highly skilled electronics and surveillance expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
  • A. Bella Vista
    Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
  • B. Bella Vista
    Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
  • C. Villa Rica
    Villa Rica is a small city in western Georgia historically known as one of the earliest gold-mining boom towns in the United States.
  • D. Livingston
    Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
  • E. Livingston
    Livingston is a small city in western Alabama known as the home of the University of West Alabama.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc3d3f48190974cec104080949f completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5172abc81909cfa709ea866dc57 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e65f868c819099b4fbf129773e6d completed March 14, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69b4e6bc95cc8190852b833e111cd889 completed March 14, 2026, 4:40 a.m.
Created at: March 8, 2026, 3:35 p.m.