Triple
T11693625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Morgan |
E277932
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Morner
Morner is the family name of American actor and singer Dennis Morgan, who was born Earl Stanley Morner.
|
E939601
|
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: Morner | Statement: [Dennis Morgan, familyName, Morner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morner Context triple: [Dennis Morgan, familyName, Morner]
-
A.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
-
B.
Moberg
Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
-
C.
Moorenweis
Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
-
D.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
E.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
- 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: Morner Triple: [Dennis Morgan, familyName, Morner]
Generated description
Morner is the family name of American actor and singer Dennis Morgan, who was born Earl Stanley Morner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morner Target entity description: Morner is the family name of American actor and singer Dennis Morgan, who was born Earl Stanley Morner.
-
A.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
-
B.
Moberg
Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
-
C.
Moorenweis
Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
-
D.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
E.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47b9eb48190976a35e91e25b56b |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1461b2f0819091ef2a0627ffe5f5 |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef3553a1748190b554463bcea8bd1d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51fe3824819099f440426d3e6888 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.