Triple

T10668838
Position Surface form Disambiguated ID Type / Status
Subject Evan Bogart E251431 entity
Predicate familyName P18 FINISHED
Object Bogart E856493 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: Bogart | Statement: [Evan Bogart, familyName, Bogart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogart
Context triple: [Evan Bogart, familyName, Bogart]
  • A. Bogart chosen
    Bogart is a surname most famously associated with American actor Humphrey Bogart, a classic Hollywood icon known for his roles in films like "Casablanca" and "The Maltese Falcon."
  • B. Belmont DeForest Bogart
    Belmont DeForest Bogart was the father of legendary American film actor Humphrey Bogart and a prominent New York City surgeon.
  • C. Humphrey Bogart
    Humphrey Bogart was an iconic American film actor best known for his tough yet vulnerable screen persona in classic films such as "Casablanca" and "The Maltese Falcon."
  • D. Kay Bogart
    Kay Bogart was the daughter of famed illustrator Maud Humphrey and the sister of actor Humphrey Bogart.
  • E. Leslie Bogart
    Leslie Bogart is the daughter of legendary Hollywood actor Humphrey Bogart and actress Lauren Bacall, known primarily for her connection to her famous parents.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f861513881909b44c711371086b7 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9ceea08190944354d127f2c73b completed April 10, 2026, 10:33 p.m.
Created at: April 8, 2026, 9:09 p.m.