Triple

T30537074
Position Surface form Disambiguated ID Type / Status
Subject Man in the Saddle E777176 entity
Predicate productionCompany P490 FINISHED
Object Scott-Brown Productions
Scott-Brown Productions was an American film production company active in the mid-20th century, known for producing genre films including Westerns.
 E1919191 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: Scott-Brown Productions | Statement: [Man in the Saddle, productionCompany, Scott-Brown Productions]
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: Scott-Brown Productions
Triple: [Man in the Saddle, productionCompany, Scott-Brown Productions]
Generated description
Scott-Brown Productions was an American film production company active in the mid-20th century, known for producing genre films including Westerns.

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_69f2249d183c8190b79937c1768d2163 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68850f3088190b84f1b63101d47e9 completed May 2, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be843bec81908758effa0ba105a8 completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27c45dca6481908c22f507c611055a completed June 9, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_6a27c4be47348190888d9376d3a6b0c9 completed June 9, 2026, 7:46 a.m.
Created at: April 29, 2026, 8:19 p.m.