Triple

T27779292
Position Surface form Disambiguated ID Type / Status
Subject Stifel Theatre E699287 entity
Predicate formerName P65 FINISHED
Object Kiel Opera House
Kiel Opera House, now known as the Stifel Theatre, is a historic performing arts venue in downtown St. Louis, Missouri, renowned for hosting concerts, Broadway shows, and other live events.
E1788219 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: Kiel Opera House | Statement: [Stifel Theatre, formerName, Kiel Opera House]
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: Kiel Opera House
Triple: [Stifel Theatre, formerName, Kiel Opera House]
Generated description
Kiel Opera House, now known as the Stifel Theatre, is a historic performing arts venue in downtown St. Louis, Missouri, renowned for hosting concerts, Broadway shows, and other live events.

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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637cd6cb88190890704547d681fb2 completed May 2, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecc19c6481909f6a28bf73aacfce completed May 24, 2026, 12:19 p.m.
NEDg Description generation batch_6a12ed49e708819099e170891a774486 completed May 24, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12ee4f57508190aa0d1832b30a9556 completed May 24, 2026, 12:25 p.m.
Created at: April 27, 2026, 5:08 p.m.