Triple

T7666473
Position Surface form Disambiguated ID Type / Status
Subject Robert C. Martin E173635 entity
Predicate coFounded P104 FINISHED
Object Object Mentor E672061 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: Object Mentor | Statement: [Robert C. Martin, coFounded, Object Mentor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Object Mentor
Context triple: [Robert C. Martin, coFounded, Object Mentor]
  • A. Object Mentor chosen
    Object Mentor is a software consulting and training company founded by Robert C. Martin, known for promoting agile methodologies, clean code practices, and object-oriented design principles.
  • B. Orb
    The Orb is a river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
  • C. Orb
    The Orb is a ceremonial piece of royal regalia symbolizing monarchical authority and Christian sovereignty, traditionally held by the monarch during British coronations.
  • D. Orb
    Orb is a biometric imaging device developed for the Worldcoin project that scans people’s irises to create unique digital identities.
  • E. Mator
    Mator is an extinct Samoyedic language once spoken in parts of Siberia.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b260000819088d744ea8dc53cd2 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 4 p.m.