Triple

T3671673
Position Surface form Disambiguated ID Type / Status
Subject Stone E77893 entity
Predicate editedBy P1954 FINISHED
Object Alexandre de Franceschi E490650 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: Alexandre de Franceschi | Statement: [Stone, editedBy, Alexandre de Franceschi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandre de Franceschi
Context triple: [Stone, editedBy, Alexandre de Franceschi]
  • A. Alexandre de Franceschi chosen
    Alexandre de Franceschi is a film editor known for his work on the movie "Lion."
  • B. Frédéric Arnault
    Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
  • C. Nicolas Béhuchet
    Nicolas Béhuchet was a 14th-century French naval commander and royal official who played a leading role in early Hundred Years’ War sea campaigns.
  • D. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • E. Armand Gensonné
    Armand Gensonné was a French lawyer and revolutionary politician who became a prominent leader of the Girondin faction during the French Revolution and was executed during the Reign of Terror.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42de1bc819090e19dd0805f13a1 completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097a5c6a4819082f4b9bf113ea33b completed March 23, 2026, 1:30 a.m.
Created at: March 8, 2026, 3:25 p.m.