Triple

T5303821
Position Surface form Disambiguated ID Type / Status
Subject Kojak E120046 entity
Predicate awardRecipient P21360 FINISHED
Object Telly Savalas E254596 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: Telly Savalas | Statement: [Kojak, awardRecipient, Telly Savalas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telly Savalas
Context triple: [Kojak, awardRecipient, Telly Savalas]
  • A. Telly Savalas chosen
    Telly Savalas was an American actor best known for his Emmy-winning role as the bald, lollipop-licking detective in the 1970s television series "Kojak."
  • B. Richard Crenna
    Richard Crenna was an American actor and director known for his roles in films such as the "Rambo" series and numerous television shows including "The Real McCoys."
  • C. Richard Conte
    Richard Conte was an American film and television actor best known for his roles in classic crime dramas and film noir, including "The Godfather" and "Thieves' Highway."
  • D. Robert Loggia
    Robert Loggia was an American character actor and director known for his gruff voice and memorable roles in films such as "Scarface," "Big," and "Independence Day."
  • E. Stanley Baker
    Stanley Baker was a Welsh actor and film producer known for his intense screen presence and prominent roles in British cinema of the 1950s and 1960s.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851b685c8190b7ed8c762a807395 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2907e4cc8190a25f457c17c747ff completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 1:53 p.m.