Triple
T384893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transamerica Pyramid |
E8758
|
entity |
| Predicate | formerOwner |
P347
|
FINISHED |
| Object |
Aegon
Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
|
E48778
|
NE FINISHED |
How this triple was built (4 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: [Transamerica Pyramid, formerOwner, Aegon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aegon Context triple: [Transamerica Pyramid, formerOwner, Aegon]
-
A.
Jaime
Jaime is a given name of Spanish origin, commonly used as a form of James.
-
B.
Ahlden
Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
-
C.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
D.
Julian Burnside
Julian Burnside is an Australian barrister and human rights advocate renowned for his work defending refugees and speaking out on civil liberties and social justice.
-
E.
Tribonian
Tribonian was a prominent 6th-century Byzantine jurist and official under Emperor Justinian I, best known for leading the codification of Roman law that shaped European legal tradition for centuries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aegon Triple: [Transamerica Pyramid, formerOwner, Aegon]
Generated description
Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aegon Target entity description: Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
A.
Jaime
Jaime is a given name of Spanish origin, commonly used as a form of James.
-
B.
Ahlden
Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
-
C.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
D.
Julian Burnside
Julian Burnside is an Australian barrister and human rights advocate renowned for his work defending refugees and speaking out on civil liberties and social justice.
-
E.
Tribonian
Tribonian was a prominent 6th-century Byzantine jurist and official under Emperor Justinian I, best known for leading the codification of Roman law that shaped European legal tradition for centuries.
- F. None of above. chosen
Provenance (5 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec4345a48190a413261cba4eafd7 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe95c7088190a1538eecb2ac6955 |
completed | March 1, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69a3fec1294c8190bff1dc2c8ec6bfb0 |
completed | March 1, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ff1db088819087542685fbad01ad |
completed | March 1, 2026, 8:55 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.