Triple

T13310244
Position Surface form Disambiguated ID Type / Status
Subject La Marche de l'empereur E317041 entity
Predicate writer P1360 FINISHED
Object Michel Fessler E317043 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: Michel Fessler | Statement: [La Marche de l'empereur, writer, Michel Fessler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Fessler
Context triple: [La Marche de l'empereur, writer, Michel Fessler]
  • A. Michel Fessler chosen
    Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
  • B. Alain Macklovitch
    Alain Macklovitch is a Canadian DJ, turntablist, and record producer better known by his stage name A-Trak, recognized for his influential role in electronic and hip-hop music.
  • C. Michel Delving
    Michel Delving is the chief town and administrative center of the Shire in J.R.R. Tolkien’s Middle-earth, known as the seat of the Mayor and the location of the Mathom-house.
  • D. Michel Hofman
    Michel Hofman is a Belgian military officer who serves as the country's Chief of Defence, the highest-ranking position in the Belgian Armed Forces.
  • E. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f56abc8190951774a999e2ce11 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2810a881908b1ed0cc4fb9ac12 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:29 p.m.