Triple

T16766196
Position Surface form Disambiguated ID Type / Status
Subject Rollo Lee E407468 entity
Predicate hasFirstName P17 FINISHED
Object Rollo E20829 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: Rollo | Statement: [Rollo Lee, hasFirstName, Rollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rollo
Context triple: [Rollo Lee, hasFirstName, Rollo]
  • A. Rollo chosen
    Rollo was a Viking leader who became the first ruler of Normandy, laying the foundations for the Norman people and their later influence in European history.
  • B. Rollo
    Rollo is the central protagonist of the 1993 film "Stalingrad," a German soldier whose harrowing experiences on the Eastern Front depict the brutality and futility of war.
  • C. Sweyn Forkbeard
    Sweyn Forkbeard was a Viking king of Denmark, Norway, and briefly England, known for overthrowing his father Harald Bluetooth and launching major raids and conquests in the British Isles.
  • D. Sigeric
    Sigeric was a short-lived early 5th-century Visigothic king known for briefly succeeding Alaric I before being replaced by Wallia.
  • E. Sweyn II of Denmark
    Sweyn II of Denmark was an 11th-century king of Denmark known for consolidating royal power and engaging in extensive conflicts with Norway and England.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0330d6081908ce99f14c70b90f2 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a531ea7c81908630f16f6c685d49 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.