Triple
T7868257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zita Johann |
E182672
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Zita
Zita is a feminine given name of European origin, notably borne by the Austrian-American actress Zita Johann.
|
E701391
|
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: Zita | Statement: [Zita Johann, givenName, Zita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zita Context triple: [Zita Johann, givenName, Zita]
-
A.
Tirza
Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
-
B.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
C.
Zana
Zana is a song featured on the album "Legend of the Sun Virgin" by Peruvian-Australian singer-songwriter and producer Gaby Moreno (performing as part of the project).
-
D.
Zedka
Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
-
E.
Hilda
Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
- 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: Zita Triple: [Zita Johann, givenName, Zita]
Generated description
Zita is a feminine given name of European origin, notably borne by the Austrian-American actress Zita Johann.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zita Target entity description: Zita is a feminine given name of European origin, notably borne by the Austrian-American actress Zita Johann.
-
A.
Tirza
Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
-
B.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
C.
Zana
Zana is a song featured on the album "Legend of the Sun Virgin" by Peruvian-Australian singer-songwriter and producer Gaby Moreno (performing as part of the project).
-
D.
Zedka
Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
-
E.
Hilda
Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3847c7fc819098e32b6548943da7 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b60b3b08190832837bacb8ce965 |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7630b8908190a0b8f4856bceea0a |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbfb894588190971ade076acdbd5c |
completed | March 31, 2026, 12:36 p.m. |
Created at: March 30, 2026, 4:55 p.m.