Triple
T6939322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan S. Birman |
E160631
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Nancy Wrinkle
Nancy Wrinkle is a mathematician known as a notable student of the knot theorist Joan S. Birman.
|
E628637
|
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: Nancy Wrinkle | Statement: [Joan S. Birman, notableStudent, Nancy Wrinkle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Wrinkle Context triple: [Joan S. Birman, notableStudent, Nancy Wrinkle]
-
A.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
B.
Nancy
Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
-
C.
Nancy Wheeler
Nancy Wheeler is a determined and resourceful teenager in the series "Stranger Things," known for her investigative instincts and courage in confronting supernatural threats.
-
D.
Nancy Morgan
Nancy Morgan is an American actress known for her film and television work and for her former marriage to actor John Ritter.
-
E.
Nance
Nance is a member of the elite military unit J-Squad in the science fiction film "Edge of Tomorrow."
- 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: Nancy Wrinkle Triple: [Joan S. Birman, notableStudent, Nancy Wrinkle]
Generated description
Nancy Wrinkle is a mathematician known as a notable student of the knot theorist Joan S. Birman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Wrinkle Target entity description: Nancy Wrinkle is a mathematician known as a notable student of the knot theorist Joan S. Birman.
-
A.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
B.
Nancy
Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
-
C.
Nancy Wheeler
Nancy Wheeler is a determined and resourceful teenager in the series "Stranger Things," known for her investigative instincts and courage in confronting supernatural threats.
-
D.
Nancy Morgan
Nancy Morgan is an American actress known for her film and television work and for her former marriage to actor John Ritter.
-
E.
Nance
Nance is a member of the elite military unit J-Squad in the science fiction film "Edge of Tomorrow."
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da641ce08190a133c9ba4977755d |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7515880948190970cadd7adeda435 |
completed | March 28, 2026, 3:56 a.m. |
| NEDg | Description generation | batch_69c7524e3ef48190a78601ca290f133d |
completed | March 28, 2026, 4 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c752dca6e08190a087898d99c015ac |
completed | March 28, 2026, 4:02 a.m. |
Created at: March 27, 2026, 2:28 p.m.