Triple

T35762776
Position Surface form Disambiguated ID Type / Status
Subject Austro-Hungarian Chancellor E1033920 entity
Predicate officeHolder P537 FINISHED
Object Heinrich Clam-Martinic
Heinrich Clam-Martinic was an Austro-Hungarian statesman and nobleman who briefly served as one of the last prime ministers of the Habsburg Empire during World War I.
E2278900 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: Heinrich Clam-Martinic | Statement: [Austro-Hungarian Chancellor, officeHolder, Heinrich Clam-Martinic]
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: Heinrich Clam-Martinic
Triple: [Austro-Hungarian Chancellor, officeHolder, Heinrich Clam-Martinic]
Generated description
Heinrich Clam-Martinic was an Austro-Hungarian statesman and nobleman who briefly served as one of the last prime ministers of the Habsburg Empire during World War I.

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_69f76e13edd081909101629aa829c4ad completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1c562848190ba1fe4f9cb7efa87 completed May 3, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f42211f481909ee1dc3706781a9d completed June 29, 2026, 4:27 a.m.
NEDg Description generation batch_6a41f4fbde8c819096617301e3ece13c completed June 29, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a41f8d699bc8190a33eea34eff1e4d8 completed June 29, 2026, 4:47 a.m.
Created at: May 3, 2026, 4:06 p.m.