Triple

T7854441
Position Surface form Disambiguated ID Type / Status
Subject Clinton Levi Merriam E182136 entity
Predicate middleName P143 FINISHED
Object Levi E64668 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: Levi | Statement: [Clinton Levi Merriam, middleName, Levi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levi
Context triple: [Clinton Levi Merriam, middleName, Levi]
  • A. Levi
    Levi is the surname of Primo Levi, the renowned Italian Jewish chemist and writer best known for his memoirs about surviving the Auschwitz concentration camp.
  • B. Levi chosen
    Levi is a biblical patriarch, one of the twelve sons of Jacob and ancestor of the Israelite tribe of Levi, traditionally associated with priestly duties.
  • C. Levi
    Levi is a popular ski resort and tourist destination in Finnish Lapland, known for its extensive slopes, winter sports, and vibrant holiday village.
  • D. Levi Todd
    Levi Todd was an early American pioneer and political figure associated with the prominent Todd family, known for his role in the settlement and governance of Kentucky.
  • E. Pepe Jeans
    Pepe Jeans is a British denim and casualwear fashion brand known for its trendy jeans and youthful, urban style.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a72cfdc8190a3186c4c2894f571 completed March 31, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b27e9b081909a0574458ddf43b0 completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:51 p.m.