Triple

T11480809
Position Surface form Disambiguated ID Type / Status
Subject Andrew Sharp E272139 entity
Predicate hasGivenName P17 FINISHED
Object Andrew E228 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: Andrew | Statement: [Andrew Sharp, hasGivenName, Andrew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew
Context triple: [Andrew Sharp, hasGivenName, Andrew]
  • A. Andrew chosen
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • B. Andrew
    Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
  • C. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • D. Alan
    The Alans were an ancient nomadic Iranian-speaking people of the Eurasian steppes, known for their skilled horsemanship and significant role in the migrations that shaped late antiquity Europe.
  • E. Alex
    Alex is a common given name, typically used as a shortened form of Alexander or Alexandra.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e60434966c81909a277b6a0fd9f358 completed April 20, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:36 p.m.