Triple

T1847494
Position Surface form Disambiguated ID Type / Status
Subject Sydney Greenstreet E41316 entity
Predicate coStarredWith P14987 FINISHED
Object Humphrey Bogart E14706 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: Humphrey Bogart | Statement: [Sydney Greenstreet, coStarredWith, Humphrey Bogart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humphrey Bogart
Context triple: [Sydney Greenstreet, coStarredWith, 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. 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."
  • D. 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.
  • E. Melvyn Douglas
    Melvyn Douglas was an acclaimed American actor known for his sophisticated screen presence and award-winning performances in both classic Hollywood films and later character roles.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb05412a08190855ea453d1264ea3 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba141fc819084cf5903eced2326 completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:33 p.m.