Triple

T15996821
Position Surface form Disambiguated ID Type / Status
Subject Fred Savage E387988 entity
Predicate notableWork P4 FINISHED
Object Friends from College E388469 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 from College | Statement: [Fred Savage, notableWork, Friends from College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friends from College
Context triple: [Fred Savage, notableWork, Friends from College]
  • A. Friends from College chosen
    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.
  • B. Friends for Life
    Friends for Life is a well-known fundraising and relationship-building guide by Ken Burnett that focuses on creating lasting connections between charities and their supporters.
  • C. Friends for Life
    Friends for Life is the official motto of the 1992 Barcelona Summer Olympics, emphasizing international friendship and unity among participants.
  • D. Real Friends
    "Real Friends" is a reflective hip-hop song by Kanye West that explores themes of trust, betrayal, and isolation amid fame.
  • E. Just Friends
    Just Friends is a 2005 romantic comedy film starring Ryan Reynolds and Anna Faris about a formerly overweight teen who returns home and tries to win over his high school crush.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157882ef0819081143e530bd6413c completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.