Triple
T4755797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Moore |
E105584
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Doorn Van Steyn
Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
|
E676900
|
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: Doorn Van Steyn | Statement: [Roger Moore, spouse, Doorn Van Steyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doorn Van Steyn Context triple: [Roger Moore, spouse, Doorn Van Steyn]
-
A.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
-
B.
Nieuwenhoorn
Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
-
C.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
D.
Enkeldoorn
Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
-
E.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
- 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: Doorn Van Steyn Triple: [Roger Moore, spouse, Doorn Van Steyn]
Generated description
Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doorn Van Steyn Target entity description: Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
-
A.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
-
B.
Nieuwenhoorn
Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
-
C.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
D.
Enkeldoorn
Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
-
E.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e9d80c819088532921a46ea1d6 |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8681d57c08190b72d1b010db3a065 |
completed | March 28, 2026, 11:45 p.m. |
| NEDg | Description generation | batch_69c8690ef840819082ecaa16b5cf3f0c |
completed | March 28, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86b70a51c819091590ff094e6e784 |
completed | March 28, 2026, 11:59 p.m. |
Created at: March 20, 2026, 1:20 p.m.