Triple

T16875624
Position Surface form Disambiguated ID Type / Status
Subject Miss Froy E421291 entity
Predicate givenName P17 FINISHED
Object Froy
Froy is a given name that can be used as a first name or nickname for individuals, sometimes appearing in fictional works or personal names.
E1237867 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: Froy | Statement: [Miss Froy, givenName, Froy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Froy
Context triple: [Miss Froy, givenName, Froy]
  • A. Fröbe
    Fröbe is the surname of German actor Gert Fröbe, best known internationally for portraying the villain Auric Goldfinger in the James Bond film "Goldfinger."
  • B. Floby
    Floby is a small locality in Västra Götaland County, Sweden, known historically as a rural parish and railway junction.
  • C. Foyr
    Foyr is a village in the municipality of Jalhay in the province of Liège, Belgium.
  • D. Freuchie
    Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
  • E. Frogn
    Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
  • 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: Froy
Triple: [Miss Froy, givenName, Froy]
Generated description
Froy is a given name that can be used as a first name or nickname for individuals, sometimes appearing in fictional works or personal names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Froy
Target entity description: Froy is a given name that can be used as a first name or nickname for individuals, sometimes appearing in fictional works or personal names.
  • A. Fröbe
    Fröbe is the surname of German actor Gert Fröbe, best known internationally for portraying the villain Auric Goldfinger in the James Bond film "Goldfinger."
  • B. Floby
    Floby is a small locality in Västra Götaland County, Sweden, known historically as a rural parish and railway junction.
  • C. Foyr
    Foyr is a village in the municipality of Jalhay in the province of Liège, Belgium.
  • D. Freuchie
    Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
  • E. Frogn
    Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
  • F. None of above. chosen

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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b4abd08190841c5bb0b0eaa177 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c355f4108190a4209599bf5f50da completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c413314881909e308588af09ce2a completed May 10, 2026, 5:44 p.m.
Created at: April 10, 2026, 5:29 a.m.