Triple
T15649120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillett |
E376258
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Gillet
Gillet is a surname and variant spelling of "Gillett," borne by various individuals and families, particularly in French- and English-speaking regions.
|
E1169630
|
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: Gillet | Statement: [Gillett, hasVariant, Gillet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillet Context triple: [Gillett, hasVariant, Gillet]
-
A.
Gillet Block
The Gillet Block is a historic commercial building in Grinnell, Iowa, designed by famed architect Louis Sullivan and noted for its distinctive ornamental detailing.
-
B.
Royer
Royer was a costume designer known for his work on classic Hollywood films, including the 1939 drama "The Rains Came."
-
C.
Ducrot
Ducrot is a French surname most notably borne by Auguste-Alexandre Ducrot, a 19th-century French general.
-
D.
Flandin
Flandin is a French surname most notably borne by Pierre-Étienne Flandin, a prominent 20th-century French politician and statesman.
-
E.
Delarue
Delarue is a vengeful ex-soldier and gunslinger who serves as the main protagonist in the Western thriller film "The Salvation."
- 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: Gillet Triple: [Gillett, hasVariant, Gillet]
Generated description
Gillet is a surname and variant spelling of "Gillett," borne by various individuals and families, particularly in French- and English-speaking regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gillet Target entity description: Gillet is a surname and variant spelling of "Gillett," borne by various individuals and families, particularly in French- and English-speaking regions.
-
A.
Gillet Block
The Gillet Block is a historic commercial building in Grinnell, Iowa, designed by famed architect Louis Sullivan and noted for its distinctive ornamental detailing.
-
B.
Royer
Royer was a costume designer known for his work on classic Hollywood films, including the 1939 drama "The Rains Came."
-
C.
Ducrot
Ducrot is a French surname most notably borne by Auguste-Alexandre Ducrot, a 19th-century French general.
-
D.
Flandin
Flandin is a French surname most notably borne by Pierre-Étienne Flandin, a prominent 20th-century French politician and statesman.
-
E.
Delarue
Delarue is a vengeful ex-soldier and gunslinger who serves as the main protagonist in the Western thriller film "The Salvation."
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67957ebc8190b187f557bd01d58d |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff68af38848190975e374b2c8c917b |
completed | May 9, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff69660b6c819082dbdf06db1c8fe3 |
completed | May 9, 2026, 5:05 p.m. |
Created at: April 10, 2026, 4:15 a.m.