Triple
T15905066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Torn |
E385689
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Prezens
Prezens is an experimental jazz and avant-garde guitar album by David Torn, acclaimed for its innovative soundscapes and boundary-pushing improvisation.
|
E1183530
|
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: Prezens | Statement: [David Torn, notableWork, Prezens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prezens Context triple: [David Torn, notableWork, Prezens]
-
A.
Banket
Banket is a small mining and farming town located in Zimbabwe's Mashonaland West Province.
-
B.
Regals
Regals is the team name and mascot identity for the women's athletic programs at California Lutheran University.
-
C.
Lokma
Lokma is a traditional Turkish dessert consisting of small deep-fried dough balls soaked in syrup, often served at celebrations and communal events.
-
D.
Annappes
Annappes is a former commune in northern France that was incorporated into the new town of Villeneuve d’Ascq during municipal reorganizations in the 20th century.
-
E.
Pölsan
Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
- 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: Prezens Triple: [David Torn, notableWork, Prezens]
Generated description
Prezens is an experimental jazz and avant-garde guitar album by David Torn, acclaimed for its innovative soundscapes and boundary-pushing improvisation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prezens Target entity description: Prezens is an experimental jazz and avant-garde guitar album by David Torn, acclaimed for its innovative soundscapes and boundary-pushing improvisation.
-
A.
Banket
Banket is a small mining and farming town located in Zimbabwe's Mashonaland West Province.
-
B.
Regals
Regals is the team name and mascot identity for the women's athletic programs at California Lutheran University.
-
C.
Lokma
Lokma is a traditional Turkish dessert consisting of small deep-fried dough balls soaked in syrup, often served at celebrations and communal events.
-
D.
Annappes
Annappes is a former commune in northern France that was incorporated into the new town of Villeneuve d’Ascq during municipal reorganizations in the 20th century.
-
E.
Pölsan
Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565956588190ba4726a2879b677d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0535a808190983b4ff028826cbf |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb110a5b88190904f763057e8eb1e |
completed | May 9, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1a5e9b88190b790c81b9500c2ac |
completed | May 9, 2026, 10:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.