Triple
T16386994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minka Kelly |
E397948
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Minka
Minka is a feminine given name most prominently associated with American actress Minka Kelly.
|
E1209819
|
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: Minka | Statement: [Minka Kelly, givenName, Minka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minka Context triple: [Minka Kelly, givenName, Minka]
-
A.
Amana
Amana is one of the historic villages that make up the communal German Pietist settlement known as the Amana Colonies in Iowa.
-
B.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
C.
Moen
Moen is a village in Northern Norway that serves as the administrative centre of Målselv Municipality in Troms og Finnmark county.
-
D.
Moen
Moen is the main town and administrative center of Chuuk State in the Federated States of Micronesia, located on Weno Island in the Chuuk Lagoon.
-
E.
Sanyo-Onoda
Sanyo-Onoda is a coastal industrial city in western Japan known for its cement and chemical industries and its location along the Seto Inland Sea.
- 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: Minka Triple: [Minka Kelly, givenName, Minka]
Generated description
Minka is a feminine given name most prominently associated with American actress Minka Kelly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minka Target entity description: Minka is a feminine given name most prominently associated with American actress Minka Kelly.
-
A.
Amana
Amana is one of the historic villages that make up the communal German Pietist settlement known as the Amana Colonies in Iowa.
-
B.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
C.
Moen
Moen is a village in Northern Norway that serves as the administrative centre of Målselv Municipality in Troms og Finnmark county.
-
D.
Moen
Moen is the main town and administrative center of Chuuk State in the Federated States of Micronesia, located on Weno Island in the Chuuk Lagoon.
-
E.
Sanyo-Onoda
Sanyo-Onoda is a coastal industrial city in western Japan known for its cement and chemical industries and its location along the Seto Inland Sea.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356ed47c819085aaf101459dd55c |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00368287d48190b510541eb7851942 |
completed | May 10, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003766d4ec8190ab98387781f85bd6 |
completed | May 10, 2026, 7:44 a.m. |
Created at: April 10, 2026, 5:08 a.m.