Triple
T16821354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigella Lawson |
E408899
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kitchen
Kitchen is a cookbook by Nigella Lawson that focuses on comforting, practical home cooking and everyday recipes.
|
E1235309
|
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: Kitchen | Statement: [Nigella Lawson, notableWork, Kitchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitchen Context triple: [Nigella Lawson, notableWork, Kitchen]
-
A.
Kitchen
"Kitchen" is a meticulously crafted photographic artwork by German artist Thomas Demand, known for its life-sized paper reconstruction of a domestic kitchen that blurs the line between reality and fabrication.
-
B.
Kitchen
"Kitchen" is a 1966 underground film directed by Andy Warhol, featuring Edie Sedgwick in one of her most iconic screen appearances.
-
C.
Kitchen
Kitchen is an English-language surname borne by various notable individuals, including actors such as Michael Kitchen.
-
D.
KITCH
KITCH is the station code for Kitchener railway station in Ontario, Canada, used in rail scheduling, ticketing, and passenger information systems.
-
E.
The Kitchen
The Kitchen is a Food Network daytime talk show that features chefs and hosts sharing recipes, cooking tips, and food-related conversation in a casual, collaborative format.
- 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: Kitchen Triple: [Nigella Lawson, notableWork, Kitchen]
Generated description
Kitchen is a cookbook by Nigella Lawson that focuses on comforting, practical home cooking and everyday recipes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kitchen Target entity description: Kitchen is a cookbook by Nigella Lawson that focuses on comforting, practical home cooking and everyday recipes.
-
A.
Kitchen
"Kitchen" is a meticulously crafted photographic artwork by German artist Thomas Demand, known for its life-sized paper reconstruction of a domestic kitchen that blurs the line between reality and fabrication.
-
B.
Kitchen
"Kitchen" is a 1966 underground film directed by Andy Warhol, featuring Edie Sedgwick in one of her most iconic screen appearances.
-
C.
Kitchen
Kitchen is an English-language surname borne by various notable individuals, including actors such as Michael Kitchen.
-
D.
KITCH
KITCH is the station code for Kitchener railway station in Ontario, Canada, used in rail scheduling, ticketing, and passenger information systems.
-
E.
The Kitchen
The Kitchen is a Food Network daytime talk show that features chefs and hosts sharing recipes, cooking tips, and food-related conversation in a casual, collaborative format.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e6b59c8190ad562a80e71ce54c |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29a3854819099eed580eea5d84d |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b32d2a588190b59bad56f8817bce |
completed | May 10, 2026, 4:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b3d14b3c819081f435777f47eca3 |
completed | May 10, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:23 a.m.