Triple

T145134
Position Surface form Disambiguated ID Type / Status
Subject Alexander Vandegrift E2936 entity
Predicate givenName P17 FINISHED
Object Alexander E5923 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: Alexander | Statement: [Alexander Vandegrift, givenName, Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander
Context triple: [Alexander Vandegrift, givenName, Alexander]
  • A. Alexander chosen
    Alexander is a common male given name of Greek origin, meaning "defender of men."
  • B. Alexander the Great
    Alexander the Great was a 4th-century BCE king of Macedon who created one of the largest empires in ancient history and spread Greek culture across the Near East.
  • C. Martin
    Martin is the given name of Martin Luther King Jr., the prominent American civil rights leader and Baptist minister who advocated nonviolent resistance to racial segregation.
  • D. David
    David is the middle name of Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in Europe during World War II.
  • E. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257e935bc8190a03e54a10e9ba6f7 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c52c563c81908a53f3dbe1eb7455 completed Feb. 28, 2026, 10:36 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.