Triple

T7767161
Position Surface form Disambiguated ID Type / Status
Subject Gene Raymond E178978 entity
Predicate familyName P18 FINISHED
Object Guion
Guion is a surname of French origin historically associated with several notable families and individuals.
 E687218 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: Guion | Statement: [Gene Raymond, familyName, Guion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guion
Context triple: [Gene Raymond, familyName, Guion]
  • A. Guil
    The Guil is a mountain river in southeastern France that flows through the Queyras region of the Alps before joining the Durance.
  • B. Gabrielino
    Gabrielino refers to the Indigenous Tongva people native to the Los Angeles Basin and Southern Channel Islands in California.
  • C. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • D. Vizenor
    Vizenor is the surname of Gerald Vizenor, a prominent Native American writer, scholar, and critical theorist known for his work on Native American literature and postmodernism.
  • E. Biehn
    Biehn is the surname of American actor Michael Biehn, known for his roles in science fiction and action films such as The Terminator and Aliens.
  • 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: Guion
Triple: [Gene Raymond, familyName, Guion]
Generated description
Guion is a surname of French origin historically associated with several notable families and individuals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guion
Target entity description: Guion is a surname of French origin historically associated with several notable families and individuals.
  • A. Guil
    The Guil is a mountain river in southeastern France that flows through the Queyras region of the Alps before joining the Durance.
  • B. Gabrielino
    Gabrielino refers to the Indigenous Tongva people native to the Los Angeles Basin and Southern Channel Islands in California.
  • C. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • D. Vizenor
    Vizenor is the surname of Gerald Vizenor, a prominent Native American writer, scholar, and critical theorist known for his work on Native American literature and postmodernism.
  • E. Biehn
    Biehn is the surname of American actor Michael Biehn, known for his roles in science fiction and action films such as The Terminator and Aliens.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7043451bc8190a76ee066b779b7d7 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e4976c81909ff34dcdcae96999 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8b75b848190a67de2040d563f86 completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c941814081909d299df5cd714c71 completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 4:11 p.m.