Triple

T16613320
Position Surface form Disambiguated ID Type / Status
Subject Acropyga E403630 entity
Predicate describedBy P264 FINISHED
Object Roger E18413 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: Roger | Statement: [Acropyga, describedBy, Roger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger
Context triple: [Acropyga, describedBy, Roger]
  • A. Roger chosen
    Roger is a masculine given name of Germanic origin commonly used in English-speaking countries.
  • B. Rod
    Rod is the primordial Slavic deity associated with creation, fate, and ancestral kinship, often regarded as the supreme god in early Slavic belief.
  • C. Rod
    Rod is a masculine given name, often used as a short form of names like Rodney or Roderick.
  • D. Rod
    Rod is the nickname of Roderick Langway, a former professional ice hockey defenseman and Hockey Hall of Famer best known for his time with the Washington Capitals.
  • E. Rod
    Rod is the given name of Rod Streater, an American former NFL wide receiver.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e360983d2c8190b1fe7f18aedfbde1 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aeaa9881908bdef0f9f2b52e60 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.