Triple
T12668159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Makkena |
E302609
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Makkena
Makkena is the surname of American actress Wendy Makkena, known for her roles in films such as "Sister Act" and various television series.
|
E998854
|
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: Makkena | Statement: [Wendy Makkena, familyName, Makkena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makkena Context triple: [Wendy Makkena, familyName, Makkena]
-
A.
Maku
Maku is a city in northwestern Iran known for its mountainous landscape and proximity to the Turkish border.
-
B.
Moru
Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
-
C.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
D.
Kuneē
Kuneē is the mythological helmet worn by Hades that grants its wearer invisibility in Greek mythology.
-
E.
Minaki
Minaki is a small unincorporated community and recreational area in northwestern Ontario, Canada, known for its lakeside cottages, fishing, and outdoor tourism.
- 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: Makkena Triple: [Wendy Makkena, familyName, Makkena]
Generated description
Makkena is the surname of American actress Wendy Makkena, known for her roles in films such as "Sister Act" and various television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makkena Target entity description: Makkena is the surname of American actress Wendy Makkena, known for her roles in films such as "Sister Act" and various television series.
-
A.
Maku
Maku is a city in northwestern Iran known for its mountainous landscape and proximity to the Turkish border.
-
B.
Moru
Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
-
C.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
D.
Kuneē
Kuneē is the mythological helmet worn by Hades that grants its wearer invisibility in Greek mythology.
-
E.
Minaki
Minaki is a small unincorporated community and recreational area in northwestern Ontario, Canada, known for its lakeside cottages, fishing, and outdoor tourism.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96181c40481908f3e2717f5472b85 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719fb8bc8190b581a7fcfb252404 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6751f79148190a1735abf489fd106 |
completed | May 2, 2026, 10:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675c42fec8190b60751c0db88f3b6 |
completed | May 2, 2026, 10:08 p.m. |
Created at: April 9, 2026, 5:20 p.m.