Triple
T4104461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert |
E88415
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object |
Gisbert
Gisbert is a masculine given name of Germanic origin, closely related to Gilbert and used primarily in German- and Spanish-speaking countries.
|
E413175
|
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: Gisbert | Statement: [Gilbert, hasCognate, Gisbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gisbert Context triple: [Gilbert, hasCognate, Gisbert]
-
A.
Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
-
B.
Berthold
Berthold is the family name of American comedian and actress Kate McKinnon, known for her work on Saturday Night Live.
-
C.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
-
D.
Irmfried
Irmfried is a masculine German given name most notably borne by Irmfried Eberl, an Austrian physician and Nazi SS officer who served as a commandant of extermination camps during World War II.
-
E.
Aribert
Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
- 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: Gisbert Triple: [Gilbert, hasCognate, Gisbert]
Generated description
Gisbert is a masculine given name of Germanic origin, closely related to Gilbert and used primarily in German- and Spanish-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gisbert Target entity description: Gisbert is a masculine given name of Germanic origin, closely related to Gilbert and used primarily in German- and Spanish-speaking countries.
-
A.
Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
-
B.
Berthold
Berthold is the family name of American comedian and actress Kate McKinnon, known for her work on Saturday Night Live.
-
C.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
-
D.
Irmfried
Irmfried is a masculine German given name most notably borne by Irmfried Eberl, an Austrian physician and Nazi SS officer who served as a commandant of extermination camps during World War II.
-
E.
Aribert
Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd31bad88190b850d1dcba14de60 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7cdc088190a63f6c6d39ca4350 |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56c29c72081909e6ef890dde593dd |
completed | March 14, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56ca671d0819097760161832998b0 |
completed | March 14, 2026, 2:11 p.m. |
Created at: March 9, 2026, 3:40 p.m.