Triple
T20435602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcatrazz |
E501240
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Jan Uvena |
E1432088
|
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: Jan Uvena | Statement: [Alcatrazz, notableMember, Jan Uvena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Uvena Context triple: [Alcatrazz, notableMember, Jan Uvena]
-
A.
Jan Uvena
chosen
Jan Uvena is an American rock drummer best known for his work with bands such as Alcatrazz and Alice Cooper.
-
B.
Jan Uddenfeldt
Jan Uddenfeldt is a Swedish engineer and telecommunications executive best known as a key technical leader at Ericsson and a pioneer in the development of mobile communication systems.
-
C.
Jani Vreto
Jani Vreto was a prominent 19th-century Albanian writer, activist, and intellectual who played a crucial role in promoting Albanian language, literature, and national consciousness.
-
D.
Jean Lundegaard
Jean Lundegaard is a fictional character in the film "Fargo," known as the wife of car salesman Jerry Lundegaard who becomes a victim in his botched kidnapping scheme.
-
E.
Jojo Thorsen
Jojo Thorsen is the central protagonist of the science fiction series "Space Rangers," leading missions in a futuristic interstellar setting.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ee758c8190b267b7ce71de8f8c |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b09c8988190b81fe0678c8d071b |
completed | May 16, 2026, 3:19 p.m. |
Created at: April 16, 2026, 11:31 a.m.