Triple

T8113733
Position Surface form Disambiguated ID Type / Status
Subject Marissa Ribisi E189418 entity
Predicate notableWork P4 FINISHED
Object Friends E64332 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: Friends | Statement: [Marissa Ribisi, notableWork, Friends]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friends
Context triple: [Marissa Ribisi, notableWork, Friends]
  • A. Friends
    Friends, formally known as the Religious Society of Friends, is a Christian-rooted religious movement best known for its Quaker tradition emphasizing inner spiritual experience, pacifism, and social justice.
  • B. Friends chosen
    Friends is a hugely popular American sitcom that follows a close-knit group of six friends navigating life and relationships in New York City.
  • C. Friends
    Friends is a 1968 studio album by the American rock band The Beach Boys, noted for its mellow, introspective songs and understated, harmony-rich production.
  • D. Friends
    Friends is a 1993 British drama film directed by Elaine Proctor, in which Kerry Fox plays a leading role.
  • E. Friends from College
    Friends from College is a Netflix comedy series that follows a group of Harvard alumni navigating messy relationships and midlife crises in New York City.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432f2a24819097be6ab9b03567bd completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc943bdaa48190971bf57ae4fb5c21 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.