Triple

T6412697
Position Surface form Disambiguated ID Type / Status
Subject A. Bartlett Giamatti E127746 entity
Predicate givenName P17 FINISHED
Object Angelo E34007 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: Angelo | Statement: [A. Bartlett Giamatti, givenName, Angelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelo
Context triple: [A. Bartlett Giamatti, givenName, Angelo]
  • A. Angelo chosen
    Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
  • B. Maschio Angioino
    Maschio Angioino is a historic medieval and Renaissance fortress in Naples, Italy, renowned as a former royal residence and one of the city’s most iconic landmarks.
  • C. Montardo
    Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
  • D. Nicolangelo Carnimeo
    Nicolangelo Carnimeo was an Italian military officer best known for commanding Italian forces during the World War II Battle of Keren in East Africa.
  • E. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068d228208190ba05eeb7707482fe completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640c48e688190981a19ce5eb2af44 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:42 p.m.