Triple

T37209220
Position Surface form Disambiguated ID Type / Status
Subject Spirit Riding Free E922253 entity
Predicate settingPlace P1957 FINISHED
Object frontier town of Miradero
The frontier town of Miradero is the lively Old West community where the animated series "Spirit Riding Free" follows a young girl and her wild mustang on their adventures.
E2217273 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: frontier town of Miradero | Statement: [Spirit Riding Free, settingPlace, frontier town of Miradero]
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: frontier town of Miradero
Triple: [Spirit Riding Free, settingPlace, frontier town of Miradero]
Generated description
The frontier town of Miradero is the lively Old West community where the animated series "Spirit Riding Free" follows a young girl and her wild mustang on their adventures.

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_69f76ea4849481909b4a3073efb0114c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb367043948190937211d37b6f7220 completed May 6, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4036230a2481909d71da51152c762a completed June 27, 2026, 8:44 p.m.
NEDg Description generation batch_6a4036bd31748190a08ed682417cc180 completed June 27, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_6a403861c27481908142d4cf2a8ff8ae completed June 27, 2026, 8:53 p.m.
Created at: May 3, 2026, 4:15 p.m.