Triple

T9579151
Position Surface form Disambiguated ID Type / Status
Subject Dr. Christopher Turk E231123 entity
Predicate creator P184 FINISHED
Object Bill Lawrence E494423 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: Bill Lawrence | Statement: [Dr. Christopher Turk, creator, Bill Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Lawrence
Context triple: [Dr. Christopher Turk, creator, Bill Lawrence]
  • A. Bill Lawrence chosen
    Bill Lawrence is an American television producer, screenwriter, and director best known for creating hit series such as Scrubs, Cougar Town, and co-creating Ted Lasso.
  • B. Michael Daves
    Michael Daves is an American bluegrass and roots musician known for his high-energy vocal style and collaborations with prominent artists such as mandolinist Chris Thile.
  • C. Mike O’Malley
    Mike O’Malley is an American actor, comedian, and writer best known for his roles in television series such as "Yes, Dear" and "Glee," as well as his work as a television host and producer.
  • D. Dave Gregory
    Dave Gregory is an English guitarist and songwriter best known for his work with the new wave band XTC.
  • E. Hugh Hunt
    Hugh Hunt was an American film art director and set decorator known for his work on numerous Hollywood productions in the mid-20th century.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aece1081908287e03106de020f completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1821797f88190b427ad1fcfc73757 completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:05 p.m.