Triple
T12679924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurre-Lieder |
E302917
|
entity |
| Predicate | principalCharacter |
P9202
|
FINISHED |
| Object | Tove |
E203482
|
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: Tove | Statement: [Gurre-Lieder, principalCharacter, Tove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tove Context triple: [Gurre-Lieder, principalCharacter, Tove]
-
A.
Tove
chosen
Tove is a given name most famously borne by Finnish author and artist Tove Jansson, creator of the Moomin series.
-
B.
Tove Strand
Tove Strand is a Norwegian Labour Party politician and former government minister who has held several key public administration and health sector leadership roles in Norway.
-
C.
Tova
Tova is a feminine given name, often of Hebrew or Scandinavian origin, associated with meanings like "good" or "beautiful."
-
D.
Tove Edfeldt
Tove Edfeldt is a Swedish actress known for her roles in film, television, and theater.
-
E.
Tebbe
Tebbe is a German surname that serves as the etymological root for the name Tibbets.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a54b008190b02f9585d6c6ff77 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.