Triple

T6106203
Position Surface form Disambiguated ID Type / Status
Subject Rosa Diaz E136122 entity
Predicate hasFriend P8712 FINISHED
Object Charles Boyle E136123 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: Charles Boyle | Statement: [Rosa Diaz, hasFriend, Charles Boyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Boyle
Context triple: [Rosa Diaz, hasFriend, Charles Boyle]
  • A. Charles Boyle chosen
    Charles Boyle is a quirky, earnest, and food-obsessed detective from the comedy series "Brooklyn Nine-Nine," known for his unwavering loyalty to his friends and partner Jake Peralta.
  • B. Edward Hand
    Edward Hand was an Irish-born American physician, soldier, and politician who became a prominent general in the Continental Army during the American Revolutionary War.
  • C. John F. Dryden
    John F. Dryden was an American businessman and politician who pioneered industrial life insurance in the United States and served as a U.S. Senator from New Jersey.
  • D. Edward Barrett
    Edward Barrett was a member of the prominent Barrett family of the 19th century and the brother of renowned English poet Elizabeth Barrett Browning.
  • E. John Burrows
    John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b806bd48190b6f020af3391adb8 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1359334c081909653603633ba9c06 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:13 p.m.