Triple
T20498914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Mihm |
E503248
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mihm
Mihm is a surname of German origin borne by various individuals, including historian and author Stephen Mihm.
|
E1434155
|
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: Mihm | Statement: [Stephen Mihm, familyName, Mihm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mihm Context triple: [Stephen Mihm, familyName, Mihm]
-
A.
Mihos
Mihos is an ancient Egyptian lion-headed god associated with war and protection, venerated as a son of the feline goddess Bastet.
-
B.
Máfil
Máfil is a small town and commune located in southern Chile's Los Ríos Region, known for its rural character and forestry-based economy.
-
C.
Mizil
Mizil is a small town in southern Romania known for its location in Prahova County and its historical role as a local trade and wine-producing center.
-
D.
Muher
Muher is a Gurage language variety spoken in Ethiopia, known as one of the dialects of the Sebat Bet Gurage cluster within the Ethiosemitic language family.
-
E.
Manglicmot
Manglicmot is a rural barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
- 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: Mihm Triple: [Stephen Mihm, familyName, Mihm]
Generated description
Mihm is a surname of German origin borne by various individuals, including historian and author Stephen Mihm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mihm Target entity description: Mihm is a surname of German origin borne by various individuals, including historian and author Stephen Mihm.
-
A.
Mihos
Mihos is an ancient Egyptian lion-headed god associated with war and protection, venerated as a son of the feline goddess Bastet.
-
B.
Máfil
Máfil is a small town and commune located in southern Chile's Los Ríos Region, known for its rural character and forestry-based economy.
-
C.
Mizil
Mizil is a small town in southern Romania known for its location in Prahova County and its historical role as a local trade and wine-producing center.
-
D.
Muher
Muher is a Gurage language variety spoken in Ethiopia, known as one of the dialects of the Sebat Bet Gurage cluster within the Ethiosemitic language family.
-
E.
Manglicmot
Manglicmot is a rural barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893bd1c508190bbba38fb36650723 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a0894634f748190ae0a3be77125bf03 |
completed | May 16, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08958072d08190a0e4ba12c7e550ea |
completed | May 16, 2026, 4:04 p.m. |
Created at: April 16, 2026, 11:35 a.m.