Triple

T7618577
Position Surface form Disambiguated ID Type / Status
Subject Franck E172426 entity
Predicate relatedName P3889 FINISHED
Object Franck (given name)
Franck is a masculine given name of French origin, commonly used in Francophone countries and derived from the name François or the Germanic "Frank."
 E172426 NE FINISHED

How this triple was built (4 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: Franck (given name) | Statement: [Franck, relatedName, Franck (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franck (given name)
Context triple: [Franck, relatedName, Franck (given name)]
  • A. Franck
    Franck is a surname most notably associated with James Franck, the German physicist and Nobel laureate recognized for the Franck–Hertz experiment.
  • B. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • C. Jean-Philippe
    Jean-Philippe is a French masculine given name most famously borne by the Baroque composer Jean-Philippe Rameau.
  • D. Phillippe
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • E. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Franck (given name)
Triple: [Franck, relatedName, Franck (given name)]
Generated description
Franck is a masculine given name of French origin, commonly used in Francophone countries and derived from the name François or the Germanic "Frank."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Franck (given name)
Target entity description: Franck is a masculine given name of French origin, commonly used in Francophone countries and derived from the name François or the Germanic "Frank."
  • A. Franck chosen
    Franck is a surname most notably associated with James Franck, the German physicist and Nobel laureate recognized for the Franck–Hertz experiment.
  • B. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • C. Jean-Philippe
    Jean-Philippe is a French masculine given name most famously borne by the Baroque composer Jean-Philippe Rameau.
  • D. Phillippe
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • E. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • F. None of above.

Provenance (5 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4886ac819084188f54d280df35 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86874d5e48190a07c48f667fb8f6e completed March 28, 2026, 11:47 p.m.
NEDg Description generation batch_69c868d21b688190ba2f6ad849f4bde5 completed March 28, 2026, 11:48 p.m.
NED2 Entity disambiguation (via description) batch_69c869d14ae08190b2742af3878333e6 completed March 28, 2026, 11:52 p.m.
Created at: March 27, 2026, 3:55 p.m.