Triple

T28144394
Position Surface form Disambiguated ID Type / Status
Subject Remember... Dreams Come True E714433 entity
Predicate theme P261 FINISHED
Object Disneyland history
Disneyland history encompasses the creation, evolution, and cultural impact of Walt Disney’s original theme park in Anaheim, California, from its 1955 opening to the present day.
E36211 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: Disneyland history | Statement: [Remember... Dreams Come True, theme, Disneyland history]
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: Disneyland history
Triple: [Remember... Dreams Come True, theme, Disneyland history]
Generated description
Disneyland history encompasses the creation, evolution, and cultural impact of Walt Disney’s original theme park in Anaheim, California, from its 1955 opening to the present day.

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_69efd6b033208190bf74f80a147e2092 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6417146c081908043ee0e8982e005 completed May 2, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7a6b44481909d0d285d727307ad completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15da345bf481908136f95c41489006 completed May 26, 2026, 5:36 p.m.
NED2 Entity disambiguation (via description) batch_6a15daaf33588190b5aa74d272349389 completed May 26, 2026, 5:38 p.m.
Created at: April 27, 2026, 9:55 p.m.