Triple
T16578407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeana Yeager |
E402774
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jeana
Jeana is a feminine given name, often used in English-speaking countries as a variant of Gina or Jean.
|
E1221999
|
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: Jeana | Statement: [Jeana Yeager, givenName, Jeana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeana Context triple: [Jeana Yeager, givenName, Jeana]
-
A.
Nina
Nina is a central character in the British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
-
B.
Nina
Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
-
C.
Nina
Nina is a feminine given name used in various cultures, often as a short form of names like Antonina or Giannina, and borne by numerous notable figures in the arts and public life.
-
D.
Nina
Nina is a biographical drama film written and directed by Cynthia Mort that portrays the life and struggles of legendary musician Nina Simone.
-
E.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
- 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: Jeana Triple: [Jeana Yeager, givenName, Jeana]
Generated description
Jeana is a feminine given name, often used in English-speaking countries as a variant of Gina or Jean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeana Target entity description: Jeana is a feminine given name, often used in English-speaking countries as a variant of Gina or Jean.
-
A.
Nina
Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
-
B.
Nina
Nina is a central character in the British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
-
C.
Nina
Nina is a biographical drama film written and directed by Cynthia Mort that portrays the life and struggles of legendary musician Nina Simone.
-
D.
Nina
Nina is a feminine given name used in various cultures, often as a short form of names like Antonina or Giannina, and borne by numerous notable figures in the arts and public life.
-
E.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595e9e1081909b220fb2de630348 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eecbb6c81908abc5659333a4879 |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006fa02870819083c1b25eb4c8ffad |
completed | May 10, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0070aee0248190b3463b98a739d1ae |
completed | May 10, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:16 a.m.