Triple
T15593226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Seibert |
E374800
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Seibert
Seibert is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
|
E1166654
|
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: Seibert | Statement: [Pete Seibert, familyName, Seibert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seibert Context triple: [Pete Seibert, familyName, Seibert]
-
A.
Siebert
Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
-
B.
Elliger
Elliger is a German-language surname most notably associated with the Baroque painter Karl Elliger.
-
C.
Eberstein
Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
-
D.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
-
E.
Sibert
Sibert is the given middle name of the renowned American novelist Willa Cather, known for her depictions of frontier life on the Great Plains.
- 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: Seibert Triple: [Pete Seibert, familyName, Seibert]
Generated description
Seibert is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seibert Target entity description: Seibert is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
-
A.
Siebert
Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
-
B.
Elliger
Elliger is a German-language surname most notably associated with the Baroque painter Karl Elliger.
-
C.
Eberstein
Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
-
D.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
-
E.
Sibert
Sibert is the given middle name of the renowned American novelist Willa Cather, known for her depictions of frontier life on the Great Plains.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5e43d48190a8fd367f13f1c7e1 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c7db58819089cb488fb3ea96cd |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58687e4c8190a4054c4d5419a76a |
completed | May 9, 2026, 3:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff58d92218819085877be120fdcc01 |
completed | May 9, 2026, 3:55 p.m. |
Created at: April 10, 2026, 4:12 a.m.