Triple

T7651553
Position Surface form Disambiguated ID Type / Status
Subject Carl Tham E173263 entity
Predicate name P16 FINISHED
Object Carl Tham E173263 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: Carl Tham | Statement: [Carl Tham, name, Carl Tham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Tham
Context triple: [Carl Tham, name, Carl Tham]
  • A. Carl Tham chosen
    Carl Tham is a Swedish politician and former Minister for Education known for his leadership roles in both the Liberal and Social Democratic parties, as well as his work in cultural and educational policy.
  • B. Karl Tunberg
    Karl Tunberg was an American screenwriter best known for writing the screenplay of the epic 1959 film "Ben-Hur."
  • C. Carl Petersen
    Carl Petersen was a prominent Danish architect associated with the Nordic Classicism movement, known for blending classical forms with modern sensibilities in early 20th-century Scandinavian architecture.
  • D. Roy Leenig
    Roy Leenig was a prominent American college basketball coach best known for his successful tenure leading the Holy Cross Crusaders men's basketball program.
  • E. Lennart Tham
    Lennart Tham was a Swedish architect known for designing major public buildings, including the multi-purpose arena Scandinavium in Gothenburg.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701770ac881909452348c9547ab47 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aeb66c081909f3a3d6385637c25 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:58 p.m.