Triple
T14958394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Kayser |
E372993
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kayser
Kayser is a surname of German origin borne by various notable individuals across fields such as acting, science, and sports.
|
E1129297
|
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: Kayser | Statement: [Allan Kayser, familyName, Kayser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kayser Context triple: [Allan Kayser, familyName, Kayser]
-
A.
Kadiria
Kadiria is a town and commune located within Bouira Province in northern Algeria.
-
B.
Yesan
Yesan is an alternate name for the Tutelo language, a nearly extinct Siouan language historically spoken by the Tutelo people of eastern North America.
-
C.
Sebkay
Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
-
D.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
E.
Erkheim
Erkheim is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
- 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: Kayser Triple: [Allan Kayser, familyName, Kayser]
Generated description
Kayser is a surname of German origin borne by various notable individuals across fields such as acting, science, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kayser Target entity description: Kayser is a surname of German origin borne by various notable individuals across fields such as acting, science, and sports.
-
A.
Kadiria
Kadiria is a town and commune located within Bouira Province in northern Algeria.
-
B.
Yesan
Yesan is an alternate name for the Tutelo language, a nearly extinct Siouan language historically spoken by the Tutelo people of eastern North America.
-
C.
Sebkay
Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
-
D.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
E.
Erkheim
Erkheim is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9e74fc8190bdd10a25c39829f3 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe83269020819085b904e080578580 |
completed | May 9, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe83ccc73881909c28c53052c4cd86 |
completed | May 9, 2026, 12:46 a.m. |
Created at: April 10, 2026, 2:40 a.m.