Triple
T2805139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Lieber |
E54033
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lieber
Lieber is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
|
E299637
|
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: Lieber | Statement: [Jon Lieber, familyName, Lieber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieber Context triple: [Jon Lieber, familyName, Lieber]
-
A.
Christlieger
Christlieger is a small, picturesque island in the Bavarian lake Königssee, known for its religious monument and scenic alpine setting.
-
B.
Leer
Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
-
C.
Liber
Liber is an ancient Roman god associated with viticulture, fertility, and freedom, often identified with the Greek god Dionysus.
-
D.
Körner
Körner is a German surname borne by various notable figures in fields such as literature, music, and politics.
-
E.
Schiffrin
Schiffrin is a surname most notably associated with André Schiffrin, an influential publisher and intellectual known for his work in progressive and independent publishing.
- 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: Lieber Triple: [Jon Lieber, familyName, Lieber]
Generated description
Lieber is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lieber Target entity description: Lieber is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
-
A.
Liebesbrand
Liebesbrand is a contemporary German novel by Feridun Zaimoglu that explores an intense, destructive love affair marked by obsession and emotional extremity.
-
B.
Christlieger
Christlieger is a small, picturesque island in the Bavarian lake Königssee, known for its religious monument and scenic alpine setting.
-
C.
Leer
Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
-
D.
Liber
Liber is an ancient Roman god associated with viticulture, fertility, and freedom, often identified with the Greek god Dionysus.
-
E.
Körner
Körner is a German surname borne by various notable figures in fields such as literature, music, and politics.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde1525888190b3c04e10043c67d6 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc674217c81908177b088cc824e7b |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc863133c8190b129a55f8d28966f |
completed | March 10, 2026, 7:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc8d43e608190b33159a464dc2e8c |
completed | March 10, 2026, 7:31 a.m. |
Created at: March 6, 2026, 9:59 p.m.