Triple
T16504762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone Beck |
E400895
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Simca’s Cuisine |
E1217500
|
NE FINISHED |
How this triple was built (2 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: Simca’s Cuisine | Statement: [Simone Beck, wrote, Simca’s Cuisine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simca’s Cuisine Context triple: [Simone Beck, wrote, Simca’s Cuisine]
-
A.
Simca’s Cuisine
chosen
Simca’s Cuisine is a French cookbook by Simone “Simca” Beck that showcases her refined, traditional French recipes and culinary techniques.
-
B.
Martika’s Kitchen
Martika’s Kitchen is the 1991 pop album by American singer Martika, noted for its blend of dance-pop and Latin influences and for featuring songs co-written and produced by Prince.
-
C.
Cookhouse
Cookhouse is a small rural town in South Africa’s Eastern Cape, known historically as a farming and railway junction settlement.
-
D.
La Crêperie de Paris
La Crêperie de Paris is a French-inspired restaurant at EPCOT in Walt Disney World, specializing in sweet and savory crêpes and galettes.
-
E.
Demel
Demel is a historic and prestigious Viennese pastry shop and chocolatier renowned for its traditional cakes and confections.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e51ce1c81909548298f703a7ffa |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607e933c8190ae0572583b5a9cbf |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:14 a.m.