Triple

T15349133
Position Surface form Disambiguated ID Type / Status
Subject Lindsay Clare E367001 entity
Predicate employer P7 FINISHED
Object Clare Design E410334 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: Clare Design | Statement: [Lindsay Clare, employer, Clare Design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clare Design
Context triple: [Lindsay Clare, employer, Clare Design]
  • A. Clare Design chosen
    Clare Design is an Australian architectural practice known for its environmentally responsive and context-sensitive public and cultural buildings.
  • B. DLA Design
    DLA Design is an architectural firm known for designing major public venues, including the Manchester Arena in the United Kingdom.
  • C. Farrow Design
    Farrow Design is a renowned graphic design studio known for its influential work in music and cultural branding, particularly in album and cover art.
  • D. Atlandia Design
    Atlandia Design is an architectural firm best known for its work on major Las Vegas resort-casino projects, including the design of The Mirage.
  • E. Killa Design
    Killa Design is a Dubai-based architecture firm known for its innovative, sustainability-focused designs, including several iconic futuristic buildings in the UAE.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e27f8a88190a0f65756e3a1fdfc completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a67adf88190bbe15040761d235e completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:17 a.m.