Triple

T14537324
Position Surface form Disambiguated ID Type / Status
Subject Nat Faxon E341081 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: [Nat Faxon, notableWork, Friends from College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friends from College
Context triple: [Nat Faxon, 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 the official motto of the 1992 Barcelona Summer Olympics, emphasizing international friendship and unity among participants.
  • C. Real Friends
    "Real Friends" is a reflective hip-hop song by Kanye West that explores themes of trust, betrayal, and isolation amid fame.
  • D. Just Friends
    Just Friends is a jazz standard composed by John Klenner with lyrics by Sam M. Lewis, widely performed and recorded since its publication in 1931.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bb90008190947ac0961393446d completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5ae04881909e7eb766fca33066 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.