Triple
T3998153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Anka |
E87147
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Camelia Tannis
Camelia Tannis is the mother of Canadian-American singer, songwriter, and actor Paul Anka.
|
E407361
|
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: Camelia Tannis | Statement: [Paul Anka, mother, Camelia Tannis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camelia Tannis Context triple: [Paul Anka, mother, Camelia Tannis]
-
A.
Alexina Fall
Alexina Fall was a member of the Fall family, known primarily as the daughter of Albert B. Fall, the U.S. Secretary of the Interior implicated in the Teapot Dome scandal.
-
B.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
-
C.
Bayta Darell
Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
-
D.
Tania
Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
-
E.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
- 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: Camelia Tannis Triple: [Paul Anka, mother, Camelia Tannis]
Generated description
Camelia Tannis is the mother of Canadian-American singer, songwriter, and actor Paul Anka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camelia Tannis Target entity description: Camelia Tannis is the mother of Canadian-American singer, songwriter, and actor Paul Anka.
-
A.
Alexina Fall
Alexina Fall was a member of the Fall family, known primarily as the daughter of Albert B. Fall, the U.S. Secretary of the Interior implicated in the Teapot Dome scandal.
-
B.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
-
C.
Bayta Darell
Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
-
D.
Tania
Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
-
E.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c54f05c8190b18c2d4839a61b64 |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b54cf3da208190aa844c9ea66354fe |
completed | March 14, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55159dc288190a63d5f5164b73bbb |
completed | March 14, 2026, 12:15 p.m. |
Created at: March 9, 2026, 3:34 p.m.