Triple

T1703097
Position Surface form Disambiguated ID Type / Status
Subject Cicero E36808 entity
Predicate praenomen P7966 FINISHED
Object Marcus E70882 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: Marcus | Statement: [Cicero, praenomen, Marcus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcus
Context triple: [Cicero, praenomen, Marcus]
  • A. Marcus chosen
    Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
  • B. Marco
    Marco is a central character in Arthur Miller’s play "A View from the Bridge," depicted as a hardworking Italian immigrant whose fierce sense of family loyalty and justice drives much of the drama’s conflict.
  • C. Marc
    Marc is the given name of Marc Andreessen, the influential American entrepreneur, software engineer, and venture capitalist known for co-creating the Mosaic web browser and co-founding Netscape and Andreessen Horowitz.
  • D. Maccus
    Maccus is an Old Norse–derived given name that served as the historical root for the later surname and given name Maxwell.
  • E. Cesar
    Cesar is a given name and surname used in various languages, commonly associated with the historical legacy of "Caesar" and borne by numerous notable figures in politics, arts, and sports.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f0eb408190809d1f6496d38e0b completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0ccf91881909f788d425f66d9eb completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.