Triple
T6624409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andreas Speiser |
E149758
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Speiser
Speiser is a German-language surname borne by various notable individuals, including mathematicians, artists, and public figures.
|
E599906
|
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: Speiser | Statement: [Andreas Speiser, familyName, Speiser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speiser Context triple: [Andreas Speiser, familyName, Speiser]
-
A.
Spehr
Spehr is a surname variant of Speer, borne by individuals of Germanic origin.
-
B.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
C.
Sattler
Sattler is a German-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
-
D.
Schatzberg
Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
-
E.
Hassler
Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
- 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: Speiser Triple: [Andreas Speiser, familyName, Speiser]
Generated description
Speiser is a German-language surname borne by various notable individuals, including mathematicians, artists, and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Speiser Target entity description: Speiser is a German-language surname borne by various notable individuals, including mathematicians, artists, and public figures.
-
A.
Spehr
Spehr is a surname variant of Speer, borne by individuals of Germanic origin.
-
B.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
C.
Sattler
Sattler is a German-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
-
D.
Schatzberg
Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
-
E.
Hassler
Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7fc054819099a2e58cefd8fed7 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbe690548190a771bb1ec8d3aacf |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd0a98908190a5725c49bad7589d |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdcc10c08190aa98212bd17063a3 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:58 p.m.