Triple

T7078491
Position Surface form Disambiguated ID Type / Status
Subject Royal necropolis of Byblos E164883 entity
Predicate excavatedBy P7650 FINISHED
Object Pierre Montet E232530 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: Pierre Montet | Statement: [Royal necropolis of Byblos, excavatedBy, Pierre Montet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Montet
Context triple: [Royal necropolis of Byblos, excavatedBy, Pierre Montet]
  • A. Pierre Montet chosen
    Pierre Montet was a French Egyptologist renowned for his excavations and discoveries in ancient Egyptian sites, particularly royal tombs.
  • B. André Massoulle
    André Massoulle was a French sculptor known for contributing decorative statuary to major Parisian monuments in the late 19th and early 20th centuries.
  • C. Jacques Molénat
    Jacques Molénat is a French journalist best known as one of the founders of the press freedom organization Reporters Without Borders.
  • D. Pierre Lacotte
    Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
  • E. Pierre Lescure
    Pierre Lescure is a French media executive and journalist best known as the co-founder and former CEO of the television network Canal+ and a prominent figure in France’s entertainment industry.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ef47d48190b31125d1b57f7bec completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d380b6a39c8190ade06ba0249ffa79 completed April 6, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:40 p.m.