Triple
T10919141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabelle Grill |
E257898
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Grill
Grill is a surname of Germanic origin borne by various individuals, including the Austrian actress Isabelle Grill.
|
E893836
|
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: Grill | Statement: [Isabelle Grill, familyName, Grill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grill Context triple: [Isabelle Grill, familyName, Grill]
-
A.
Grillen
"Grillen" is one of the characterful, introspective piano pieces from Robert Schumann’s Fantasiestücke, Op. 12, reflecting his Romantic, fantasy-driven style.
-
B.
Griller
Griller is an EP by the punk rock band The Frustrators, known for its energetic, humorous take on pop-punk.
-
C.
Grilly
Grilly is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
-
D.
George Foreman Grill
The George Foreman Grill is a popular electric countertop grill known for its slanted design that drains fat from food while cooking, marketed as a healthier and convenient home-cooking appliance.
-
E.
Traeger
Traeger is a rural electoral district in the Queensland Legislative Assembly, Australia, encompassing communities in the state's northwest.
- 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: Grill Triple: [Isabelle Grill, familyName, Grill]
Generated description
Grill is a surname of Germanic origin borne by various individuals, including the Austrian actress Isabelle Grill.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grill Target entity description: Grill is a surname of Germanic origin borne by various individuals, including the Austrian actress Isabelle Grill.
-
A.
Grillen
"Grillen" is one of the characterful, introspective piano pieces from Robert Schumann’s Fantasiestücke, Op. 12, reflecting his Romantic, fantasy-driven style.
-
B.
Griller
Griller is an EP by the punk rock band The Frustrators, known for its energetic, humorous take on pop-punk.
-
C.
Grilly
Grilly is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
-
D.
George Foreman Grill
The George Foreman Grill is a popular electric countertop grill known for its slanted design that drains fat from food while cooking, marketed as a healthier and convenient home-cooking appliance.
-
E.
Traeger
Traeger is a rural electoral district in the Queensland Legislative Assembly, Australia, encompassing communities in the state's northwest.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77080317881909fc50ac3576cefa8 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2171adbbc8190916a5463b6e5c186 |
completed | April 17, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69e21d8a2e6881909b33cbe4ab919315 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21eaa1e9881909f3b276e0ff0c511 |
completed | April 17, 2026, 11:51 a.m. |
Created at: April 8, 2026, 9:22 p.m.