Triple
T12183673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margret Rey |
E290279
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Pretzel
Pretzel is a classic children's picture book by Margret Rey, best known for its story about an unusually long dachshund and its charming illustrations.
|
E967644
|
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: Pretzel | Statement: [Margret Rey, notableWork, Pretzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pretzel Context triple: [Margret Rey, notableWork, Pretzel]
-
A.
Pretz
Pretz is a popular Japanese snack brand of thin, savory biscuit sticks produced by Ezaki Glico.
-
B.
Bagel
A bagel is a dense, ring-shaped bread roll with a chewy interior and glossy crust, traditionally boiled then baked and often topped with seeds.
-
C.
Twisted Tails Pretzels
Twisted Tails Pretzels is a snack stand in Busch Gardens Tampa’s Pantopia area known for serving freshly baked soft pretzels and related treats.
-
D.
Lokma
Lokma is a traditional Turkish dessert consisting of small deep-fried dough balls soaked in syrup, often served at celebrations and communal events.
-
E.
Cornetto
Cornetto is a popular global ice cream brand best known for its cone-shaped frozen desserts filled with ice cream, chocolate, and nuts.
- 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: Pretzel Triple: [Margret Rey, notableWork, Pretzel]
Generated description
Pretzel is a classic children's picture book by Margret Rey, best known for its story about an unusually long dachshund and its charming illustrations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pretzel Target entity description: Pretzel is a classic children's picture book by Margret Rey, best known for its story about an unusually long dachshund and its charming illustrations.
-
A.
Pretz
Pretz is a popular Japanese snack brand of thin, savory biscuit sticks produced by Ezaki Glico.
-
B.
Bagel
A bagel is a dense, ring-shaped bread roll with a chewy interior and glossy crust, traditionally boiled then baked and often topped with seeds.
-
C.
Twisted Tails Pretzels
Twisted Tails Pretzels is a snack stand in Busch Gardens Tampa’s Pantopia area known for serving freshly baked soft pretzels and related treats.
-
D.
Lokma
Lokma is a traditional Turkish dessert consisting of small deep-fried dough balls soaked in syrup, often served at celebrations and communal events.
-
E.
Cornetto
Cornetto is a popular global ice cream brand best known for its cone-shaped frozen desserts filled with ice cream, chocolate, and nuts.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d915fd8dac8190928059ad2b6bbbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6aecb0881909084f3ff2a9e52ea |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f600b7e1788190b1df4fdfd96118d0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f604c4ef7c8190bc128b1aa535744d |
completed | May 2, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.