Triple

T3189431
Position Surface form Disambiguated ID Type / Status
Subject Ballana E66782 entity
Predicate excavatedBy P7650 FINISHED
Object Walter Bryan Emery E141492 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: Walter Bryan Emery | Statement: [Ballana, excavatedBy, Walter Bryan Emery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Bryan Emery
Context triple: [Ballana, excavatedBy, Walter Bryan Emery]
  • A. Walter Bryan Emery chosen
    Walter Bryan Emery was a prominent British Egyptologist and archaeologist best known for his extensive excavations and research on early dynastic tombs and monuments in Egypt.
  • B. Ken Anderson
    Ken Anderson was an American animator, art director, and story artist best known for his influential work on numerous classic Walt Disney films.
  • C. Ken Anderson
    Ken Anderson is a former NFL quarterback best known for leading the Cincinnati Bengals in the 1970s and early 1980s, earning an MVP award and a Super Bowl appearance.
  • D. Roger Edens
    Roger Edens was an American composer, arranger, and producer best known for his influential work on classic MGM musicals in Hollywood’s Golden Age.
  • E. David Bauer
    David Bauer was an American character actor known for his numerous supporting roles in mid-20th-century film and television, often portraying authority figures and diplomats.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e67e948190afbd9cc6a3ade415 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b9a9bc88190b7090bda8fe6260c completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:06 p.m.