Triple

T11002435
Position Surface form Disambiguated ID Type / Status
Subject Tomaso Poggio E260033 entity
Predicate hasAcademicAdvisor P167 FINISHED
Object David Marr E260041 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: David Marr | Statement: [Tomaso Poggio, hasAcademicAdvisor, David Marr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Marr
Context triple: [Tomaso Poggio, hasAcademicAdvisor, David Marr]
  • A. David Marr chosen
    David Marr was a pioneering British neuroscientist and psychologist whose theoretical work on vision and computational neuroscience fundamentally shaped modern cognitive science and artificial intelligence.
  • B. Donald Davies
    Donald Davies was a British computer scientist who pioneered the concept of packet switching, a foundational technology for modern computer networks and the internet.
  • C. Ian Tracey
    Ian Tracey is a Canadian actor known for his extensive work in film and television, including prominent roles in series like "Da Vinci's Inquest" and "Intelligence."
  • D. Roger Sloman
    Roger Sloman is a British character actor known for his work in film, television, and theatre, often appearing in comedic and dramatic supporting roles.
  • E. Mark Rampion
    Mark Rampion is a central character in Aldous Huxley’s novel "Point Counter Point," often seen as a semi-autobiographical figure representing the author’s artistic and philosophical ideals.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d760008190930228fa77b61b8b completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3453d181081908cb58a957f4d1295 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:25 p.m.