Triple

T3187636
Position Surface form Disambiguated ID Type / Status
Subject Rob Thomson E66738 entity
Predicate givenName P17 FINISHED
Object Rob E31255 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: Rob | Statement: [Rob Thomson, givenName, Rob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rob
Context triple: [Rob Thomson, givenName, Rob]
  • A. Rob chosen
    Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
  • B. Ron
    Ron is the commonly used first name of American politician Ron DeSantis, the governor of Florida and a prominent figure in contemporary U.S. conservative politics.
  • C. Ron
    Ron is a West Chadic language spoken in parts of central Nigeria.
  • 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. Rick
    Rick is the common nickname of Rick Adelman, a former professional basketball player and longtime NBA head coach best known for leading the Portland Trail Blazers and Sacramento Kings.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e279288190843837751e852c9e completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b8c075881909152ddca48b7da60 completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.