Triple

T12008350
Position Surface form Disambiguated ID Type / Status
Subject David W. Zucker E285841 entity
Predicate notableWork P4 FINISHED
Object The Red Line E474155 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: The Red Line | Statement: [David W. Zucker, notableWork, The Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Red Line
Context triple: [David W. Zucker, notableWork, 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
    The Red Line is a primary route of the MetroLink light rail system serving key destinations in the St. Louis metropolitan area.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d61a4c81909e6cb6500b61df94 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d32b0608190b261567fbd4f415e completed May 1, 2026, 12:31 p.m.
Created at: April 8, 2026, 9:46 p.m.