Triple

T14944057
Position Surface form Disambiguated ID Type / Status
Subject Shirley Schmidt E372606 entity
Predicate hasColleague P398 FINISHED
Object Paul Lewiston E1074706 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: Paul Lewiston | Statement: [Shirley Schmidt, hasColleague, Paul Lewiston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Lewiston
Context triple: [Shirley Schmidt, hasColleague, Paul Lewiston]
  • A. Paul Lewiston chosen
    Paul Lewiston is a senior partner and managing attorney at the law firm Crane, Poole & Schmidt in the television series "Boston Legal," known for his strict professionalism and efforts to maintain order amid the firm's eccentric lawyers.
  • B. Hank Voight
    Hank Voight is a tough, morally ambiguous police sergeant who leads the Intelligence Unit in the television drama "Chicago P.D."
  • C. Earl Devereaux
    Earl Devereaux is the hyper-energetic, overprotective town cop and fitness enthusiast from the animated film "Cloudy with a Chance of Meatballs."
  • D. Turk Malloy
    Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
  • E. Officer Pete Malloy
    Officer Pete Malloy is a fictional Los Angeles police officer and one of the two main protagonists in the classic TV series "Adam-12."
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9484e8819086ca6a59d672e49d completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:38 a.m.