Triple

T5453984
Position Surface form Disambiguated ID Type / Status
Subject Ritter in The Deep E122433 entity
Predicate hasNameInCredits P36847 FINISHED
Object Ritter E139814 NE FINISHED

How this triple was built (3 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: Ritter | Statement: [Ritter in The Deep, hasNameInCredits, Ritter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ritter
Context triple: [Ritter in The Deep, hasNameInCredits, Ritter]
  • A. Ritter chosen
    Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
  • B. Manceau
    Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
  • C. Sieg
    The Sieg is a river in western Germany that flows through North Rhine-Westphalia and Rhineland-Palatinate before joining the Rhine.
  • D. Saberhagen
    Saberhagen is the surname of Bret Saberhagen, a former Major League Baseball pitcher best known for his standout seasons with the Kansas City Royals.
  • E. Ryker
    Ryker is a modern masculine given name, often considered a variant of Riker, that has gained popularity in English-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInCredits
Context triple: [Ritter in The Deep, hasNameInCredits, Ritter]
  • A. hasCrewMember
    Indicates that an entity includes or employs another entity as a member of its crew.
  • B. hasCrewRole
    Indicates that an entity serves in a specific role or position within a crew associated with another entity.
  • C. fullNameInFilmCredits
    Indicates that a person’s complete legal or professional name is used in the official credits of a film.
  • D. hasNotableCrewMember
    Indicates that an entity is associated with a crew member who is considered notable or distinguished in some way.
  • E. performerCreditedAs chosen
    Indicates that a performer is associated with a work under a specific credited name or alias.
  • F. None of above.

Provenance (4 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927c946c8190aef40679199fede3 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4140248081908c7f42b91579a837 completed March 22, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69bd91a0d96c8190bd1299edbf764bbb completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:08 p.m.