Triple

T16127624
Position Surface form Disambiguated ID Type / Status
Subject Henry Charles Lea E391311 entity
Predicate employer P7 FINISHED
Object Lea & Blanchard E420905 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: Lea & Blanchard | Statement: [Henry Charles Lea, employer, Lea & Blanchard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lea & Blanchard
Context triple: [Henry Charles Lea, employer, Lea & Blanchard]
  • A. Lea & Blanchard chosen
    Lea & Blanchard was a prominent 19th-century American publishing firm based in Philadelphia, known for issuing influential literary and scientific works.
  • B. Lang & Witchell
    Lang & Witchell was a prominent early 20th-century Dallas-based architectural firm known for designing significant commercial and civic buildings in Texas.
  • C. Kivett & Myers
    Kivett & Myers was an American architectural firm best known for designing major sports venues, including Arrowhead Stadium in Kansas City.
  • D. Githens & Keally
    Githens & Keally was an American architectural firm best known for its prominent public and institutional buildings in the early to mid-20th century.
  • E. Fabiani & Lehane
    Fabiani & Lehane is a strategic communications and crisis management consulting firm co-founded by political strategist and attorney Mark Fabiani.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20205bed48190a6930439738da191 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2adf5848190a1dd58bc76dd4ffd completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.