Triple
T17182552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friederike Mayröcker |
E417017
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Scardanelli
Scardanelli is an experimental, lyrical prose work by Austrian writer Friederike Mayröcker that blends poetry and fragmented narrative in a highly associative, avant-garde style.
|
E1254409
|
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: Scardanelli | Statement: [Friederike Mayröcker, notableWork, Scardanelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scardanelli Context triple: [Friederike Mayröcker, notableWork, Scardanelli]
-
A.
Cardellini
Cardellini is the surname of American actress Linda Cardellini, known for her roles in "Freaks and Geeks," "ER," and "Dead to Me."
-
B.
Locatelli
Locatelli is an Italian surname most famously associated with Baroque violinist and composer Pietro Antonio Locatelli.
-
C.
Campagnone
Campagnone is an Italian surname associated with the Campagnone family lineage.
-
D.
Scarlino
Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
-
E.
Carosino
Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
- 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: Scardanelli Triple: [Friederike Mayröcker, notableWork, Scardanelli]
Generated description
Scardanelli is an experimental, lyrical prose work by Austrian writer Friederike Mayröcker that blends poetry and fragmented narrative in a highly associative, avant-garde style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scardanelli Target entity description: Scardanelli is an experimental, lyrical prose work by Austrian writer Friederike Mayröcker that blends poetry and fragmented narrative in a highly associative, avant-garde style.
-
A.
Cardellini
Cardellini is the surname of American actress Linda Cardellini, known for her roles in "Freaks and Geeks," "ER," and "Dead to Me."
-
B.
Locatelli
Locatelli is an Italian surname most famously associated with Baroque violinist and composer Pietro Antonio Locatelli.
-
C.
Campagnone
Campagnone is an Italian surname associated with the Campagnone family lineage.
-
D.
Scarlino
Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
-
E.
Carosino
Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d934ec08190acc47073758ac3c0 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148490e448190a871483f81394aab |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a0149a552c88190a4f615f67459a705 |
completed | May 11, 2026, 3:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014a095934819097be0ad099bcde66 |
completed | May 11, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:37 a.m.