Triple

T10728661
Position Surface form Disambiguated ID Type / Status
Subject Alexander (namesake of Alexander Hall) E253015 entity
Predicate hasGivenName 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 (namesake of Alexander Hall), hasGivenName, Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander
Context triple: [Alexander (namesake of Alexander Hall), hasGivenName, Alexander]
  • A. Alexander
    Alexander is another name for Paris, the Trojan prince in Greek mythology whose abduction of Helen sparked the Trojan War.
  • B. Alexander chosen
    Alexander is a common male given name of Greek origin, meaning "defender of men."
  • C. Alexander
    Alexander was one of the sons of Herod the Great, a Judean prince whose execution reflected the intense dynastic and political turmoil of Herod’s reign.
  • D. Alexander
    Alexander, also known as Wamsutta, was a 17th-century Wampanoag leader and the eldest son of Massasoit, who played a key role in early relations between Native Americans and English colonists in New England.
  • E. Alexander
    "Alexander" is an epic historical drama film directed by Oliver Stone that chronicles the life and conquests of Alexander the Great.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc92a18819089cc67afee1c9b96 completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22848ee881908e9d89f21252ef7d completed April 14, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:14 p.m.