Triple

T6444437
Position Surface form Disambiguated ID Type / Status
Subject Adrian Grenier E138305 entity
Predicate familyName P18 FINISHED
Object Grenier
Grenier is a French-origin surname borne by various notable individuals in fields such as acting, politics, and the arts.
 E593956 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: Grenier | Statement: [Adrian Grenier, familyName, Grenier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grenier
Context triple: [Adrian Grenier, familyName, Grenier]
  • A. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • B. Guignard
    Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
  • C. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • D. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • E. des Groseilliers
    des Groseilliers is the surname of Médard des Groseilliers, a 17th-century French explorer and fur trader influential in the early North American fur trade.
  • 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: Grenier
Triple: [Adrian Grenier, familyName, Grenier]
Generated description
Grenier is a French-origin surname borne by various notable individuals in fields such as acting, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grenier
Target entity description: Grenier is a French-origin surname borne by various notable individuals in fields such as acting, politics, and the arts.
  • A. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • B. Guignard
    Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
  • C. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • D. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • E. des Groseilliers
    des Groseilliers is the surname of Médard des Groseilliers, a 17th-century French explorer and fur trader influential in the early North American fur trade.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698c17ec81909f6bbcbe636a67fd completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bca1e3c81909c50177286b92ce5 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64c5e5e5c8190b24aea7e4114daa5 completed March 27, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_69c64da81a0881908fc5716aeb0e47fa completed March 27, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:46 p.m.