Triple

T19829031
Position Surface form Disambiguated ID Type / Status
Subject Noel Fisher E476405 entity
Predicate workIn P1527 FINISHED
Object The Red Line — NE NERFINISHED

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: The Red Line | Statement: [Noel Fisher, workIn, The Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Red Line
Context triple: [Noel Fisher, workIn, The Red Line]
  • A. The Red Line chosen
    The Red Line is an American television drama miniseries that follows the intersecting lives of three Chicago families after a white police officer shoots an unarmed Black doctor, and is known for starring Noah Wyle.
  • B. Red Line
    The Red Line is a major light rail route in the Dallas Area Rapid Transit (DART) system serving key corridors across the Dallas–Fort Worth metro area.
  • C. Red Line
    The Red Line is one of the main aerial cable car routes in La Paz’s Mi Teleférico urban transit system, known for connecting key high-altitude areas of the city.
  • D. Red Line
    The Red Line is one of the major corridors of the Delhi Metro rapid transit system, serving numerous densely populated areas in and around Delhi.
  • E. Red Line
    Red Line is one of the main rapid transit corridors of the Hyderabad Metro system in Hyderabad, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656ccd3748190adeaed9a431f8979 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.