Triple
T9651536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Kanova |
E233345
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Maria Mann
Maria Mann is an individual known primarily as an alternate or alias name for Maria Kanova.
|
E813462
|
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: Maria Mann | Statement: [Maria Kanova, alsoKnownAs, Maria Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Mann Context triple: [Maria Kanova, alsoKnownAs, Maria Mann]
-
A.
Johanna Mason
Johanna Mason is a fierce, sharp-tongued victor from a later Hunger Games who becomes one of Katniss Everdeen’s most complex and rebellious allies in Suzanne Collins’ series.
-
B.
Mariann
Mariann is the given name of Mariann Edgar Budde, an American Episcopal bishop known for her leadership in the Episcopal Diocese of Washington.
-
C.
Maria Franklin
Maria Franklin was the first wife of DeWitt Clinton, a prominent early 19th-century New York politician and governor.
-
D.
Clytie Jessop
Clytie Jessop was a British-Australian actress, artist, and filmmaker best known for her work in 1960s British horror cinema and later contributions to the visual arts.
-
E.
Maria Ewing
Maria Ewing was an acclaimed American opera singer and actress known for her intense dramatic presence and versatile mezzo-soprano and soprano roles on major international stages.
- 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: Maria Mann Triple: [Maria Kanova, alsoKnownAs, Maria Mann]
Generated description
Maria Mann is an individual known primarily as an alternate or alias name for Maria Kanova.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Mann Target entity description: Maria Mann is an individual known primarily as an alternate or alias name for Maria Kanova.
-
A.
Johanna Mason
Johanna Mason is a fierce, sharp-tongued victor from a later Hunger Games who becomes one of Katniss Everdeen’s most complex and rebellious allies in Suzanne Collins’ series.
-
B.
Mariann
Mariann is the given name of Mariann Edgar Budde, an American Episcopal bishop known for her leadership in the Episcopal Diocese of Washington.
-
C.
Maria Franklin
Maria Franklin was the first wife of DeWitt Clinton, a prominent early 19th-century New York politician and governor.
-
D.
Clytie Jessop
Clytie Jessop was a British-Australian actress, artist, and filmmaker best known for her work in 1960s British horror cinema and later contributions to the visual arts.
-
E.
Maria Ewing
Maria Ewing was an acclaimed American opera singer and actress known for her intense dramatic presence and versatile mezzo-soprano and soprano roles on major international stages.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb0cce88190b7eacc8b43450d7f |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a03438c8190a3419cbed7af4cd4 |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18a7f4074819086316d0236f09e0b |
completed | April 4, 2026, 10:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18af220808190b91eb750f2939e4e |
completed | April 4, 2026, 10:04 p.m. |
Created at: March 30, 2026, 8:13 p.m.