Triple

T33171812
Position Surface form Disambiguated ID Type / Status
Subject Jane Bryan E849052 entity
Predicate educatedAt P5 FINISHED
Object Max Reinhardt acting school
The Max Reinhardt acting school is a renowned drama institution known for training stage and screen actors in the tradition of influential theater director Max Reinhardt.
E2039393 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: Max Reinhardt acting school | Statement: [Jane Bryan, educatedAt, Max Reinhardt acting school]
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: Max Reinhardt acting school
Triple: [Jane Bryan, educatedAt, Max Reinhardt acting school]
Generated description
The Max Reinhardt acting school is a renowned drama institution known for training stage and screen actors in the tradition of influential theater director Max Reinhardt.

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_69f3495be8808190bbf427733df08aad completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d956408481908e95e80cbd9908d3 completed May 3, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3525c64390819086b166a5fab220aa completed June 19, 2026, 11:19 a.m.
NEDg Description generation batch_6a35269b33708190b57524f61a445006 completed June 19, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a352766ac5c8190a15fb9939e4527e6 completed June 19, 2026, 11:26 a.m.
Created at: May 1, 2026, 1:29 a.m.