Triple

T4435325
Position Surface form Disambiguated ID Type / Status
Subject The Deerslayer E95634 entity
Predicate publisher P29 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: [The Deerslayer, publisher, Lea & Blanchard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lea & Blanchard
Context triple: [The Deerslayer, publisher, 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. Kivett & Myers
    Kivett & Myers was an American architectural firm best known for designing major sports venues, including Arrowhead Stadium in Kansas City.
  • C. 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.
  • D. Ladd & Kelsey
    Ladd & Kelsey was an American architectural firm known for designing prominent cultural and institutional buildings, including major museum projects in California.
  • E. Lee Blanchard
    Lee Blanchard is a fictional Los Angeles detective in James Ellroy’s crime novel "The Black Dahlia," deeply obsessed with solving the infamous 1947 Elizabeth Short murder case.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35589f8608190b0820d36beaacf44 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61377180c8190898300fe0cd77433 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:31 p.m.