Triple

T3117398
Position Surface form Disambiguated ID Type / Status
Subject Margherita Peak E65094 entity
Predicate firstAscentBy P1321 FINISHED
Object J. Brocherel E318867 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: J. Brocherel | Statement: [Margherita Peak, firstAscentBy, J. Brocherel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. Brocherel
Context triple: [Margherita Peak, firstAscentBy, J. Brocherel]
  • A. Joseph Brocherel chosen
    Joseph Brocherel was an Italian mountaineer known for participating in the pioneering ascent of Mount Kenya.
  • B. Jacques de Fariaux
    Jacques de Fariaux was a 17th-century French military officer best known for commanding the defending forces during the 1673 siege of Maastricht in the Franco-Dutch War.
  • C. Phoebus de Châteaupers
    Phoebus de Châteaupers is a handsome but morally ambiguous captain of the king’s archers in Victor Hugo’s novel "Notre-Dame de Paris."
  • D. Daniel d'Auger de Subercase
    Daniel d'Auger de Subercase was a French military officer and colonial governor of Acadia known for his leadership in defending French interests in North America during the early 18th century.
  • E. Charles de La Fosse
    Charles de La Fosse was a prominent French Baroque painter known for his decorative ceiling and religious works, and for helping transition French art toward the Rococo style.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e73cc88190846ef37ccf1a0de7 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367e5581081908c44bc8d9492c936 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:04 p.m.