Triple

T24115000

Position	Surface form	Disambiguated ID	Type / Status
Subject	Franz Welser-Möst	`E597484`	entity
Predicate	birthName	`P65`	FINISHED
Object	Franz Leopold Maria Möst Franz Leopold Maria Möst, better known as Franz Welser-Möst, is an Austrian conductor renowned for his long tenure as music director of the Cleveland Orchestra and his leadership at the Vienna State Opera.	`E1670383`	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: Franz Leopold Maria Möst | Statement: [Franz Welser-Möst, birthName, Franz Leopold Maria Möst]

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: Franz Leopold Maria Möst
Triple: [Franz Welser-Möst, birthName, Franz Leopold Maria Möst]

Generated description

Franz Leopold Maria Möst, better known as Franz Welser-Möst, is an Austrian conductor renowned for his long tenure as music director of the Cleveland Orchestra and his leadership at the Vienna State Opera.

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_69e288c74200819098ab875b592cb39f`	completed	April 17, 2026, 7:23 p.m.
NER	Named-entity recognition	`batch_69f1de1daf0481908767902bdf4e3682`	completed	April 29, 2026, 10:31 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10678e3a28819095d520fd6608dd35`	completed	May 22, 2026, 2:26 p.m.
NEDg	Description generation	`batch_6a106907472881908bb4565bb581dbbd`	completed	May 22, 2026, 2:32 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10697c10bc8190a984f68d0bce5078`	completed	May 22, 2026, 2:34 p.m.

Created at: April 17, 2026, 11:04 p.m.