Triple

T2634069
Position Surface form Disambiguated ID Type / Status
Subject Marks Barfield Architects E59702 entity
Predicate hasKeyPerson P256 FINISHED
Object David Marks E97171 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 Marks | Statement: [Marks Barfield Architects, hasKeyPerson, David Marks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Marks
Context triple: [Marks Barfield Architects, hasKeyPerson, David Marks]
  • A. David Marks chosen
    David Marks was a British architect best known as the co-designer of the London Eye and other major public structures.
  • B. Dave Marks
    Dave Marks is a character on "The Jim Gaffigan Show," serving as one of Jim's close friends and a source of comic relief in his everyday misadventures.
  • C. J.B. Marks
    J.B. Marks was a South African communist leader and anti-apartheid activist who played a significant role in resistance politics during the mid-20th century.
  • D. Richard Marks
    Richard Marks was an American film editor known for his work on numerous acclaimed movies, including the culinary drama "Julie & Julia."
  • E. Sean Marks
    Sean Marks is a former NBA player and basketball executive best known for serving as the general manager who led the Brooklyn Nets’ roster rebuild in the late 2010s.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb328a88190b0ef889cbbe3bea3 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:50 p.m.