Triple

T3367977
Position Surface form Disambiguated ID Type / Status
Subject Marcus E70882 entity
Predicate hasCognate P2525 FINISHED
Object Marco E127212 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: Marco | Statement: [Marcus, hasCognate, Marco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marco
Context triple: [Marcus, hasCognate, Marco]
  • A. Marco chosen
    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.
  • B. Marcus
    Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
  • C. Giulio
    Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
  • D. Martin
    Martin is a minor but kind-hearted character in Ernest Hemingway's novella "The Old Man and the Sea," known for helping the old fisherman Santiago.
  • E. Martin
    Martin is the central protagonist of the 1991 psychological thriller film "Proof," around whom the story’s exploration of trust, perception, and human connection revolves.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2890480819082fe2e3c2874cece completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343664cc81909793820377b4bdc1 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.