Triple

T4497879
Position Surface form Disambiguated ID Type / Status
Subject Jessica Walter E100743 entity
Predicate familyName P18 FINISHED
Object Walter E32053 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: Walter | Statement: [Jessica Walter, familyName, Walter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter
Context triple: [Jessica Walter, familyName, Walter]
  • A. Walter chosen
    Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
  • B. Wilbert
    Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
  • C. Basil Wolverton
    Basil Wolverton was an American cartoonist and comic book artist renowned for his grotesque, highly detailed, and surreal illustration style, particularly in humor and science fiction comics.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Sterling Relyea Walter
    Sterling Relyea Walter was the birth name of American actor and author Sterling Hayden, known for his roles in classic films such as "The Asphalt Jungle" and "Dr. Strangelove."
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c065e88190934eb0b1632d79bb completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67c7da888190a60bd738e53156ed completed March 20, 2026, 3:29 p.m.
Created at: March 20, 2026, 1 p.m.