Triple

T16698981
Position Surface form Disambiguated ID Type / Status
Subject Wall Street E405791 entity
Predicate starring P1507 FINISHED
Object James Karen E683178 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: James Karen | Statement: [Wall Street, starring, James Karen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Karen
Context triple: [Wall Street, starring, James Karen]
  • A. James Karen chosen
    James Karen was an American character actor known for his prolific work in film and television, including notable roles in movies like "Poltergeist" and "The Return of the Living Dead."
  • B. Lucinda Jenney
    Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
  • C. Carol Bridger
    Carol Bridger is a fictional character known primarily as the late wife of Captain Nathan Bridger in the science fiction television series "seaQuest DSV."
  • D. Elizabeth Daley
    Elizabeth Daley is one of the daughters of the late Chicago First Lady Maggie Daley and former Chicago Mayor Richard M. Daley.
  • E. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01481dfcdc8190818456f89c285df4 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:19 a.m.