Triple
T24111554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Javier de Borbón-Parma |
E597388
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Annemarie Gualthérie van Weezel
Annemarie Gualthérie van Weezel is a Dutch journalist and author who became a member of the extended Dutch royal family through her marriage to Prince Carlos Javier de Borbón-Parma.
|
E1616726
|
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: Annemarie Gualthérie van Weezel | Statement: [Carlos Javier de Borbón-Parma, spouse, Annemarie Gualthérie van Weezel]
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: Annemarie Gualthérie van Weezel Triple: [Carlos Javier de Borbón-Parma, spouse, Annemarie Gualthérie van Weezel]
Generated description
Annemarie Gualthérie van Weezel is a Dutch journalist and author who became a member of the extended Dutch royal family through her marriage to Prince Carlos Javier de Borbón-Parma.
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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de1ae5b08190a33b7fbaaad10191 |
completed | April 29, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f96877638819088a75b50faa72083 |
completed | May 21, 2026, 11:34 p.m. |
| NEDg | Description generation | batch_6a0f971aed7c8190a38b36f96f284bb3 |
completed | May 21, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f98a259a481908e48de61aab3fc72 |
completed | May 21, 2026, 11:43 p.m. |
Created at: April 17, 2026, 11:03 p.m.