Triple
T22189223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Mohr |
E548373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mohr
Mohr is a surname of German origin borne by various notable individuals in fields such as entertainment, science, and sports.
|
E1524263
|
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: Mohr | Statement: [Jay Mohr, familyName, Mohr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohr Context triple: [Jay Mohr, familyName, Mohr]
-
A.
Mohr
Mohr is a small city in southern Iran known for its location within Fars Province and its hot, arid climate.
-
B.
Moorer
Moorer is a surname most notably associated with American former professional boxer and three-time world heavyweight champion Michael Moorer.
-
C.
Mohrungen
Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
-
D.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
-
E.
Meyerhof
Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
- 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: Mohr Triple: [Jay Mohr, familyName, Mohr]
Generated description
Mohr is a surname of German origin borne by various notable individuals in fields such as entertainment, science, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mohr Target entity description: Mohr is a surname of German origin borne by various notable individuals in fields such as entertainment, science, and sports.
-
A.
Mohr
Mohr is a small city in southern Iran known for its location within Fars Province and its hot, arid climate.
-
B.
Moorer
Moorer is a surname most notably associated with American former professional boxer and three-time world heavyweight champion Michael Moorer.
-
C.
Mohrungen
Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
-
D.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
-
E.
Meyerhof
Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aab3d2c81908a3b5a5c127c4aac |
completed | April 28, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa60a4de88190bd4a7902e9d4c0b8 |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa6d1f634819082d1edd70217b70c |
completed | May 18, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa7879e048190bd4b8e7f7cfbaec4 |
completed | May 18, 2026, 5:45 a.m. |
Created at: April 16, 2026, 8:35 p.m.