Triple

T17847317
Position Surface form Disambiguated ID Type / Status
Subject Kaaren Verne E445697 entity
Predicate workedWith P398 FINISHED
Object Humphrey Bogart NE NERFINISHED

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: Humphrey Bogart | Statement: [Kaaren Verne, workedWith, Humphrey Bogart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humphrey Bogart
Context triple: [Kaaren Verne, workedWith, Humphrey Bogart]
  • A. Humphrey Bogart chosen
    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."
  • 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. Bogart
    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."
  • D. Clark Gable
    Clark Gable was a legendary American film actor, best known for his charismatic leading roles in classic Hollywood films such as "Gone with the Wind."
  • E. Gary Cooper
    Gary Cooper was an iconic American film actor renowned for his understated, stoic performances in classic Hollywood films, including major roles in Westerns and dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffb35248190a80a428686e06d87 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.