Triple

T7530253
Position Surface form Disambiguated ID Type / Status
Subject Knots Landing E178002 entity
Predicate starring P1507 FINISHED
Object Larry Riley E269499 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: Larry Riley | Statement: [Knots Landing, starring, Larry Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Riley
Context triple: [Knots Landing, starring, Larry Riley]
  • A. Larry Riley chosen
    Larry Riley was an American actor best known for his roles in film, television, and theater, including a prominent performance in the drama "A Soldier's Story."
  • B. John Briley
    John Briley was an American screenwriter best known for his Academy Award-winning work on the film "Gandhi" and other politically charged dramas.
  • C. Jeff Cunningham
    Jeff Cunningham is a former professional soccer forward best known as one of Major League Soccer’s most prolific goal scorers.
  • D. Randy Bricker
    Randy Bricker is a film editor known for his work on horror and genre films, including Texas Chainsaw 3D.
  • E. Ben Napier
    Ben Napier is an American woodworker, entrepreneur, and television personality best known as the co-host of HGTV’s home-renovation series “Home Town.”
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81fbd4c8190b8ffedf1dbbb43aa completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8463e08ac8190abd4d19b58067233 completed March 28, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:47 p.m.