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.