Triple

T779848
Position Surface form Disambiguated ID Type / Status
Subject Queens’ College, Cambridge E16470 entity
Predicate hasAlumni P51 FINISHED
Object Stephen Fry E61163 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: Stephen Fry | Statement: [Queens’ College, Cambridge, hasAlumni, Stephen Fry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Fry
Context triple: [Queens’ College, Cambridge, hasAlumni, Stephen Fry]
  • A. Stephen Fry chosen
    Stephen Fry is a British actor, comedian, writer, and broadcaster known for his work in television, film, literature, and radio, as well as his wit and public intellectual presence.
  • B. Richard Griffiths
    Richard Griffiths was a British character actor best known for his roles in films such as "Withnail & I" and as Uncle Vernon Dursley in the "Harry Potter" series.
  • C. Laurence Fox
    Laurence Fox is an English actor and political activist known for his role in the TV series "Lewis" and for his outspoken, often controversial public commentary.
  • D. Steve Coogan
    Steve Coogan is an English actor, comedian, writer, and producer known for his character Alan Partridge and a wide range of film and television roles.
  • E. Peter Straughan
    Peter Straughan is a British screenwriter known for his work on acclaimed films such as the adaptation of John le Carré’s Tinker Tailor Soldier Spy.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a750c6708190a3f2c3abf16b4ea4 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79286e8b88190887def813bc65d95 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.