Triple

T2647710
Position Surface form Disambiguated ID Type / Status
Subject Andrew Tridgell E53823 entity
Predicate name P16 FINISHED
Object Andrew Tridgell E53823 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: Andrew Tridgell | Statement: [Andrew Tridgell, name, Andrew Tridgell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Tridgell
Context triple: [Andrew Tridgell, name, Andrew Tridgell]
  • A. Andrew Tridgell chosen
    Andrew Tridgell is an Australian computer programmer best known for creating the Samba software suite and contributing extensively to free and open-source software.
  • B. Patrick Volkerding
    Patrick Volkerding is an American software engineer best known as the founder and long-time maintainer of the Slackware Linux distribution, one of the oldest surviving Linux distros.
  • C. Theo de Raadt
    Theo de Raadt is a Canadian software engineer best known as the founder and leader of the OpenBSD and OpenSSH projects, and as a prominent advocate for free and secure software.
  • D. Bruce Perens
    Bruce Perens is a prominent open-source advocate and co-founder of the Open Source Initiative, known for authoring the Debian Free Software Guidelines and the Open Source Definition.
  • E. Chris Angelico
    Chris Angelico is a Python developer and community contributor known for his involvement in Python Enhancement Proposals, including co-authoring PEP 572.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd919bf2c81908feb768f3391e985 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c944548190a8dbe9b81045e97b completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.