Triple
T8517635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanette Lederer Calder |
E201613
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nanette
Nanette is a feminine given name of French origin, commonly used in English- and French-speaking countries.
|
E739541
|
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: Nanette | Statement: [Nanette Lederer Calder, givenName, Nanette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanette Context triple: [Nanette Lederer Calder, givenName, Nanette]
-
A.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
B.
Arabella
Arabella is a feminine given name of Latin origin, often associated with elegance and used in various English-speaking cultures.
-
C.
Arabella
Arabella is a romantic opera in three acts by Richard Strauss, first performed in 1933, known for its lush orchestration and exploration of love and social expectations in 19th-century Vienna.
-
D.
Mathilda
Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
-
E.
Madama
Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
- 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: Nanette Triple: [Nanette Lederer Calder, givenName, Nanette]
Generated description
Nanette is a feminine given name of French origin, commonly used in English- and French-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nanette Target entity description: Nanette is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
A.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
B.
Arabella
Arabella is a feminine given name of Latin origin, often associated with elegance and used in various English-speaking cultures.
-
C.
Arabella
Arabella is a romantic opera in three acts by Richard Strauss, first performed in 1933, known for its lush orchestration and exploration of love and social expectations in 19th-century Vienna.
-
D.
Mathilda
Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
-
E.
Madama
Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe626787c819087e72dd76b2d9310 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e6c93d081909da2a748b0fa6fd3 |
completed | April 2, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ce4ffc30e08190b71e941d63d56015 |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce54dc664081908ff63ec7f92834d7 |
completed | April 2, 2026, 11:37 a.m. |
Created at: March 30, 2026, 6:15 p.m.