Triple

T2854995
Position Surface form Disambiguated ID Type / Status
Subject The Crying of Lot 49 E63178 entity
Predicate mainCharacter P1183 FINISHED
Object Metzger E218303 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: Metzger | Statement: [The Crying of Lot 49, mainCharacter, Metzger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metzger
Context triple: [The Crying of Lot 49, mainCharacter, Metzger]
  • A. Metzger chosen
    Metzger is a German-origin surname borne by various notable individuals across fields such as theology, music, and the arts.
  • B. Meltzer
    Meltzer is a surname of Germanic origin borne by various notable individuals across fields such as politics, academia, and the arts.
  • C. Meier
    Meier is a common German surname borne by numerous individuals across various professions and regions.
  • D. Meyer
    Meyer is a given name most famously associated with Meyer Lansky, a major organized crime figure in the United States during the 20th century.
  • E. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8774cc8190aa6ed40b26c4a568 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:02 p.m.