Triple

T7697004
Position Surface form Disambiguated ID Type / Status
Subject Marie-Therese Piccard E174394 entity
Predicate name P16 FINISHED
Object Marie-Therese Piccard E174394 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: Marie-Therese Piccard | Statement: [Marie-Therese Piccard, name, Marie-Therese Piccard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie-Therese Piccard
Context triple: [Marie-Therese Piccard, name, Marie-Therese Piccard]
  • A. Marie-Therese Piccard chosen
    Marie-Therese Piccard was the wife of Swiss physicist and explorer Auguste Piccard, known primarily for her connection to his pioneering scientific and exploratory work.
  • B. Nathalie Cabrol
    Nathalie Cabrol is a French-American astrobiologist and planetary scientist known for her research on Mars analog environments and leadership of astrobiology and exploration programs at the SETI Institute.
  • C. Marie Pillet
    Marie Pillet was a French actress and activist, best known to many as the mother of filmmaker and actress Julie Delpy.
  • D. Andrée Fort
    Andrée Fort was the wife of French Post-Impressionist painter and writer Émile Bernard.
  • E. Sidonie Laborde
    Sidonie Laborde is the young, devoted reader to Marie Antoinette whose perspective frames the intimate, behind-the-scenes view of the French court in the film "Farewell, My Queen."
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702693ee8819080a483c347710b24 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acaee2c481909efa30125e8ca890 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:03 p.m.