Triple

T13351522
Position Surface form Disambiguated ID Type / Status
Subject Saffron Burrows E318078 entity
Predicate notableWork P4 FINISHED
Object Circle of Friends E418672 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: Circle of Friends | Statement: [Saffron Burrows, notableWork, Circle of Friends]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Circle of Friends
Context triple: [Saffron Burrows, notableWork, Circle of Friends]
  • A. Circle of Friends chosen
    Circle of Friends is a 1995 romantic drama film, based on Maeve Binchy’s novel, in which Alan Cumming appears alongside Minnie Driver and Chris O’Donnell.
  • B. Old Friends
    "Old Friends" is a song featured on the album "Everyday Life," known for its reflective tone and themes of memory and enduring relationships.
  • C. Old Friends
    "Old Friends" is a reflective, melancholic song by Simon & Garfunkel that poignantly explores aging and the passage of time.
  • D. Old Friends
    Old Friends is a nonfiction book by Tracy Kidder that intimately chronicles the lives, friendship, and daily experiences of two elderly men in a nursing home.
  • E. Our Friend
    Our Friend is a 2019 drama film based on a true story, following a couple facing terminal illness and the selfless friend who moves in to support them and their family.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:32 p.m.