Triple

T13334614
Position Surface form Disambiguated ID Type / Status
Subject Charlie Gogolak E317656 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: [Charlie Gogolak, notableWork, The Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Red Line
Context triple: [Charlie Gogolak, 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
    Red Line is one of the main rapid transit routes of the Dubai Metro, running along key areas of the city and serving many of its major commercial and residential districts.
  • C. 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.
  • D. Red Line
    The Red Line is one of the main lines of the Stockholm metro system, running from Norsborg and Fruängen in the southwest through central Stockholm to several northeastern suburbs.
  • E. 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.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f73979cb4081909e750e2d98869891 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:30 p.m.