Triple
T15135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudine Gay |
E302
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Claudine
Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
|
E7433
|
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: Claudine | Statement: [Claudine Gay, givenName, Claudine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claudine Context triple: [Claudine Gay, givenName, Claudine]
-
A.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
B.
Lucille Sheardown
Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
-
C.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
-
D.
Tituba
Tituba was an enslaved woman of Indigenous and African descent whose accusations and testimony helped ignite the Salem witch trials in 1692.
-
E.
Ruth
Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
- 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: Claudine Triple: [Claudine Gay, givenName, Claudine]
Generated description
Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claudine Target entity description: Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
-
A.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
B.
Lucille Sheardown
Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
-
C.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
-
D.
Tituba
Tituba was an enslaved woman of Indigenous and African descent whose accusations and testimony helped ignite the Salem witch trials in 1692.
-
E.
Ruth
Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a2400257208190b3cd87ad2a06c18f |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25aadb9ac8190b35b13454e86df76 |
completed | Feb. 28, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69a25ba5676881908ac366ed6c0e0d1b |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a25f907d908190a3aafe250cf58919 |
completed | Feb. 28, 2026, 3:22 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.