Triple

T25676196
Position Surface form Disambiguated ID Type / Status
Subject Ida Noddack E643811 entity
Predicate co-discoveredWith P5336 FINISHED
Object Otto Berg
Otto Berg was a German chemist best known for co-discovering the element rhenium alongside Ida Noddack and Walter Noddack.
E2288339 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: Otto Berg | Statement: [Ida Noddack, co-discoveredWith, Otto Berg]
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: Otto Berg
Triple: [Ida Noddack, co-discoveredWith, Otto Berg]
Generated description
Otto Berg was a German chemist best known for co-discovering the element rhenium alongside Ida Noddack and Walter Noddack.

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_69e77e7f69808190ad27df1006f6037a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fb3648848190bd3229ed424d5545 completed May 2, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5a839b9764819087b6604f62fc3e2e completed July 17, 2026, 7:33 p.m.
NEDg Description generation batch_6a5a83d28f2c8190bffb5bb17e986f6f completed July 17, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_6a5a845a1d78819099d398f30582a5a7 completed July 17, 2026, 7:36 p.m.
Created at: April 21, 2026, 7:38 p.m.