Triple

T4440864
Position Surface form Disambiguated ID Type / Status
Subject Total Recall E95766 entity
Predicate character P662 FINISHED
Object Richter E228360 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: Richter | Statement: [Total Recall, character, Richter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richter
Context triple: [Total Recall, character, Richter]
  • A. Richter chosen
    Richter is a common German surname borne by numerous notable individuals, including artists, scientists, and public figures.
  • B. Rikter Bedan
    Rikter Bedan is a notable literary work by Bengali poet and revolutionary Kazi Nazrul Islam, reflecting his characteristic themes of rebellion and humanism.
  • C. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • D. Riß
    The Riß is a river in the German state of Baden-Württemberg that flows through the Alb-Donau district before joining the Danube.
  • E. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61380fca08190bf036a7d82cee0e7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.