Triple
T8253142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spies |
E193003
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peter Spies
Peter Spies is a notable individual who shares his surname with the Spies family name.
|
E727778
|
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: Peter Spies | Statement: [Spies, hasNotableBearer, Peter Spies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Spies Context triple: [Spies, hasNotableBearer, Peter Spies]
-
A.
Paul Spies
Paul Spies is a Dutch art historian and museum director known for his leadership roles at major cultural institutions, including the Stadtmuseum Berlin.
-
B.
Pierre Spies
Pierre Spies is a former South African rugby union player best known as a powerful and athletic number eight who represented the Springboks internationally.
-
C.
Simon Hendrik Spoor
Simon Hendrik Spoor was a Dutch general who served as the commander-in-chief of the Royal Netherlands East Indies Army during the Indonesian National Revolution.
-
D.
Hendrik Schoeman
Hendrik Schoeman was a prominent South African politician and Boer leader who served as a government minister in the South African Republic during the late 19th century.
-
E.
Hans Spies
Hans Spies is an individual notable enough to be recognized as a prominent bearer of the surname Spies.
- 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: Peter Spies Triple: [Spies, hasNotableBearer, Peter Spies]
Generated description
Peter Spies is a notable individual who shares his surname with the Spies family name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Spies Target entity description: Peter Spies is a notable individual who shares his surname with the Spies family name.
-
A.
Paul Spies
Paul Spies is a Dutch art historian and museum director known for his leadership roles at major cultural institutions, including the Stadtmuseum Berlin.
-
B.
Pierre Spies
Pierre Spies is a former South African rugby union player best known as a powerful and athletic number eight who represented the Springboks internationally.
-
C.
Simon Hendrik Spoor
Simon Hendrik Spoor was a Dutch general who served as the commander-in-chief of the Royal Netherlands East Indies Army during the Indonesian National Revolution.
-
D.
Hendrik Schoeman
Hendrik Schoeman was a prominent South African politician and Boer leader who served as a government minister in the South African Republic during the late 19th century.
-
E.
Hans Spies
Hans Spies is an individual notable enough to be recognized as a prominent bearer of the surname Spies.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78cbc7cc81909931440e95d6e691 |
completed | March 31, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6b591d081909e1fb450508197f2 |
completed | April 2, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69cdcc8439cc8190b00ce9b0781d0544 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcdd1a0c08190aa15e665a38945e7 |
completed | April 2, 2026, 2 a.m. |
Created at: March 30, 2026, 5:48 p.m.