Triple

T8416070
Position Surface form Disambiguated ID Type / Status
Subject Think Different E198732 entity
Predicate creativeDirector P255 FINISHED
Object Lee Clow E136674 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: Lee Clow | Statement: [Think Different, creativeDirector, Lee Clow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Clow
Context triple: [Think Different, creativeDirector, Lee Clow]
  • A. Lee Clow chosen
    Lee Clow is a legendary American advertising executive best known for his groundbreaking work at TBWA\Chiat\Day, where he helped create iconic campaigns for Apple and other major brands.
  • B. Dennis Awtrey
    Dennis Awtrey is a former American professional basketball center known for his defensive play and role as a key contributor on several NBA teams during the 1970s and early 1980s.
  • C. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • D. David Clouse
    David Clouse is an entrepreneur best known as the founder of the vacation rental platform Vrbo (Vacation Rentals by Owner).
  • E. Cliff DeYoung
    Cliff DeYoung is an American actor and musician known for his work in film, television, and stage since the 1970s.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c5121081908efa3eca25406d3a completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6ce5bfe481909e05c6a34e10ae16 completed April 2, 2026, 1:19 p.m.
Created at: March 30, 2026, 6:06 p.m.