Triple

T13609756
Position Surface form Disambiguated ID Type / Status
Subject Rachel Green E325157 entity
Predicate closeFriend P8712 FINISHED
Object Ross Geller E325161 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: Ross Geller | Statement: [Rachel Green, closeFriend, Ross Geller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross Geller
Context triple: [Rachel Green, closeFriend, Ross Geller]
  • A. Ross Geller chosen
    Ross Geller is a paleontologist and one of the six central friends in the sitcom "Friends," known for his awkward charm, on-again off-again relationship with Rachel, and his nerdy, earnest personality.
  • B. Mitchell Thomas Rozanski
    Mitchell Thomas Rozanski is an American prelate of the Roman Catholic Church who serves as the Archbishop of St. Louis.
  • C. Chandler Bing
    Chandler Bing is a sarcastic, quick-witted data processor known for his awkward humor and commitment issues on the TV sitcom "Friends."
  • D. Roy McAvoy
    Roy McAvoy is a talented but reckless West Texas golf pro whose quest for redemption and glory drives the romantic sports comedy film "Tin Cup."
  • E. Jordan Roth
    Jordan Roth is an American theater producer and executive best known for leading the Broadway theater company Jujamcyn Theaters and producing numerous acclaimed stage productions.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0aa9a1481908c6f92495aff86c6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f98286c8190a866b5edc21f1225 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.