Triple

T1344
Position Surface form Disambiguated ID Type / Status
Subject California E26 entity
Predicate contains P35 FINISHED
Object Hollywood
Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
E247 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: Hollywood | Statement: [California, contains, Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollywood
Context triple: [California, contains, Hollywood]
  • A. New York City
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • B. Washington, D.C.
    Washington, D.C. is the capital city of the United States, serving as the nation’s political center and home to its federal government institutions.
  • C. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • D. California, United States
    California, United States is a large and populous U.S. state on the West Coast known for its diverse geography, major technology and entertainment industries, and cultural and economic influence.
  • E. Cambridge, Massachusetts
    Cambridge, Massachusetts is a historic and academically renowned city just outside Boston, best known for being home to world-leading universities and research institutions.
  • 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: Hollywood
Triple: [California, contains, Hollywood]
Generated description
Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hollywood
Target entity description: Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
  • A. New York City
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • B. Delano
    Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
  • C. Washington, D.C.
    Washington, D.C. is the capital city of the United States, serving as the nation’s political center and home to its federal government institutions.
  • D. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • E. Philadelphia
    Philadelphia is a major historic U.S. city in Pennsylvania known for its role in the American Revolution, iconic landmarks like Independence Hall and the Liberty Bell, and its rich cultural and academic institutions.
  • 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_69a22a285828819081a58308fb963df1 completed Feb. 27, 2026, 11:35 p.m.
NER Named-entity recognition batch_69a232e673a881909276dbf9c37bbff6 completed Feb. 28, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a238e0dd0c8190999b824f8f32b9d0 completed Feb. 28, 2026, 12:37 a.m.
NEDg Description generation batch_69a23cb1d34481909d877c8db2d0a500 completed Feb. 28, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_69a23d0072008190b96d3324aeb5e46d completed Feb. 28, 2026, 12:55 a.m.
Created at: Feb. 27, 2026, 11:36 p.m.