Triple

T8247915
Position Surface form Disambiguated ID Type / Status
Subject systemd-boot E192892 entity
Predicate developer P73 FINISHED
Object Lennart Poettering E699701 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: Lennart Poettering | Statement: [systemd-boot, developer, Lennart Poettering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lennart Poettering
Context triple: [systemd-boot, developer, Lennart Poettering]
  • A. Lennart Poettering chosen
    Lennart Poettering is a German software engineer best known for creating the systemd init system and contributing extensively to Linux userspace infrastructure.
  • B. Christian Scholz
    Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
  • C. Florian Haertel
    Florian Haertel is a German journalist and photographer best known as the former husband of British actress Alex Kingston.
  • D. Martin Schröder
    Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
  • E. Florian Ballhaus
    Florian Ballhaus is a German cinematographer known for his work on major Hollywood films and television series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7875318c819095f971ba513c54fd completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3530ca148190a28761622d0cf663 completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.