Triple
T9935739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agalev |
E192754
|
entity |
| Predicate | acronymFor |
P590
|
FINISHED |
| Object | Anders Gaan Leven |
E831268
|
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: Anders Gaan Leven | Statement: [Agalev, acronymFor, Anders Gaan Leven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anders Gaan Leven Context triple: [Agalev, acronymFor, Anders Gaan Leven]
-
A.
Anders Gaan Leven
chosen
Anders Gaan Leven was the original name of Agalev, the Flemish green political party in Belgium.
-
B.
Livets dans
Livets dans is a famous 1899–1900 painting by Norwegian artist Edvard Munch that explores themes of love, sexuality, and the passage of life through figures dancing in a moonlit landscape.
-
C.
Om livet
Om livet is a reflective work by Swedish author and comedian Jonas Gardell that explores themes of existence, love, and human vulnerability.
-
D.
Enneüs Heerma
Enneüs Heerma was a Dutch politician who served as a prominent leader of the Christian Democratic Appeal (CDA) and held several key government positions in the Netherlands.
-
E.
To Life
"To Life" is a lively celebratory song from the musical *Fiddler on the Roof*, sung as a toast to good fortune and resilience amid hardship.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e3bfa88190a88f20f2687a2583 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d4528108190b38111bb36832a67 |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:44 p.m.