Triple
T2231668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegon |
E48778
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Aegon |
E48778
|
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: Aegon | Statement: [Aegon, hasBrand, Aegon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aegon Context triple: [Aegon, hasBrand, Aegon]
-
A.
Aegon
chosen
Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
B.
Lord Steyn
Lord Steyn was a prominent British Law Lord and jurist known for his influential judgments in the House of Lords and his advocacy for human rights and judicial independence.
-
C.
Rogil
Rogil is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rural landscape and Atlantic coastline.
-
D.
Meter Theon
Meter Theon is an ancient Greek mother goddess associated with the earth and often identified with deities such as Rhea or Cybele, venerated in sanctuaries like the Metroon at Olympia.
-
E.
Jaime
Jaime is a given name of Spanish origin, commonly used as a form of James.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc06b7374819089fe643e12797bfd |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae656a1f788190a08c3283bfedb6f4 |
completed | March 9, 2026, 6:15 a.m. |
Created at: March 4, 2026, 7:47 p.m.