Triple
T1985801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toomas Asser |
E43136
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Asser |
E43136
|
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: Asser | Statement: [Toomas Asser, familyName, Asser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asser Context triple: [Toomas Asser, familyName, Asser]
-
A.
Toomas Asser
chosen
Toomas Asser is an Estonian neurosurgeon and academic who serves as the rector of the University of Tartu.
-
B.
Asser Malik
Asser Malik is a Pakistani cricket executive and sports entrepreneur best known as the husband of Nobel Peace Prize laureate Malala Yousafzai.
-
C.
Arend
Arend was one of the ships in the early 18th-century Dutch expedition led by explorer Jacob Roggeveen, known for his discovery of Easter Island.
-
D.
Minna Waldeck
Minna Waldeck was the wife of renowned German mathematician and scientist Carl Friedrich Gauss.
-
E.
Victor Muller
Victor Muller is a Dutch entrepreneur best known as the founder and former CEO of the boutique sports car manufacturer Spyker Cars and for his high-profile involvement in the automotive industry.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8232d788190938f261fd4b2f2fd |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ad53ccc8190b0e0f44cfddfe9a4 |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.