Triple

T4366995
Position Surface form Disambiguated ID Type / Status
Subject Charles Luckman E98799 entity
Predicate name P16 FINISHED
Object Charles Luckman E98799 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: Charles Luckman | Statement: [Charles Luckman, name, Charles Luckman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Luckman
Context triple: [Charles Luckman, name, Charles Luckman]
  • A. Charles Luckman chosen
    Charles Luckman was an American architect and former business executive known for designing prominent mid-20th-century commercial and civic buildings across the United States.
  • B. Arthur Sheekman
    Arthur Sheekman was an American screenwriter and humorist best known for his work on Marx Brothers films and other Hollywood comedies during the 1930s and 1940s.
  • C. Warren Adler
    Warren Adler was an American novelist and short story writer best known for his darkly comic and dramatic works, including the novel "The War of the Roses," which was adapted into a popular film.
  • D. Lewis L. Lasker
    Lewis L. Lasker was a notable figure significant enough in his community or field to have the Lasker Rink named in his honor.
  • E. Joseph E. Levine
    Joseph E. Levine was an influential American film producer and distributor known for aggressively marketing and popularizing both foreign and domestic films in the mid-20th century.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35201be7081908808e81634060f95 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbcec90881908fe83c83119d99fe completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.