Triple

T3764918
Position Surface form Disambiguated ID Type / Status
Subject Christopher Heyerdahl E82648 entity
Predicate familyName P18 FINISHED
Object Heyerdahl E82648 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: Heyerdahl | Statement: [Christopher Heyerdahl, familyName, Heyerdahl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heyerdahl
Context triple: [Christopher Heyerdahl, familyName, Heyerdahl]
  • A. Christopher Heyerdahl chosen
    Christopher Heyerdahl is a Canadian actor known for his intense character roles in television series such as "Hell on Wheels," "Sanctuary," and "Stargate Atlantis."
  • B. Martin Behaim
    Martin Behaim was a German merchant, navigator, and cartographer best known for creating the Erdapfel, the oldest surviving terrestrial globe.
  • C. Jacob Roggeveen
    Jacob Roggeveen was an 18th-century Dutch explorer best known for leading the expedition that first recorded European contact with Easter Island.
  • D. Maria Reiche
    Maria Reiche was a German-born mathematician and archaeologist renowned for her pioneering research and preservation work on Peru’s Nazca Lines.
  • E. Odd Nansen
    Odd Nansen was a Norwegian architect, humanitarian, and diarist known for his detailed accounts of life in Nazi concentration camps during World War II.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfd4be481908242c460a3f00c56 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5221ab08190a3599afbbd5dbc6e completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.