Triple
T19836262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orly Castel-Bloom |
E476603
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Dolly City
Dolly City is a darkly satirical Israeli novel by Orly Castel-Bloom that explores themes of violence, alienation, and urban dystopia through an absurd, surreal narrative.
|
E1396654
|
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: Dolly City | Statement: [Orly Castel-Bloom, notableWork, Dolly City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolly City Context triple: [Orly Castel-Bloom, notableWork, Dolly City]
-
A.
Dolly Dearest
Dolly Dearest is a 1991 horror film about a possessed doll that terrorizes a family in Mexico.
-
B.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
-
C.
Stone City
Stone City is the nickname of Tenino, Washington, reflecting its historic sandstone quarrying and stone-carving heritage.
-
D.
The Holly City
The Holly City is the nickname for Millville, New Jersey, reflecting its historical abundance of holly trees and related industry.
-
E.
Sugar City
Sugar City is the popular nickname for Lautoka, a major Fijian city renowned for its prominent sugar industry and large sugar mill.
- 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: Dolly City Triple: [Orly Castel-Bloom, notableWork, Dolly City]
Generated description
Dolly City is a darkly satirical Israeli novel by Orly Castel-Bloom that explores themes of violence, alienation, and urban dystopia through an absurd, surreal narrative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dolly City Target entity description: Dolly City is a darkly satirical Israeli novel by Orly Castel-Bloom that explores themes of violence, alienation, and urban dystopia through an absurd, surreal narrative.
-
A.
Dolly Dearest
Dolly Dearest is a 1991 horror film about a possessed doll that terrorizes a family in Mexico.
-
B.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
-
C.
Stone City
Stone City is the nickname of Tenino, Washington, reflecting its historic sandstone quarrying and stone-carving heritage.
-
D.
The Holly City
The Holly City is the nickname for Millville, New Jersey, reflecting its historical abundance of holly trees and related industry.
-
E.
Sugar City
Sugar City is the popular nickname for Lautoka, a major Fijian city renowned for its prominent sugar industry and large sugar mill.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d275608190841b23de167c401e |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccdc05848190a353aa1d51108555 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07ce38b6508190aa43a893b01c4d80 |
completed | May 16, 2026, 1:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ceea12e881908a88a34c40047ecc |
completed | May 16, 2026, 1:56 a.m. |
Created at: April 10, 2026, 1:50 p.m.