Triple
T5751546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Kane |
E126864
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Beverly Kane
Beverly Kane is known as the wife of Bob Kane, the American comic book artist and co-creator of Batman.
|
E560098
|
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: Beverly Kane | Statement: [Bob Kane, spouse, Beverly Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beverly Kane Context triple: [Bob Kane, spouse, Beverly Kane]
-
A.
Evelyn Carnahan
Evelyn Carnahan is a brilliant and adventurous English Egyptologist and librarian who serves as a central heroine in the 1999 film "The Mummy" and its sequels.
-
B.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
-
C.
Beverly Bentley
Beverly Bentley was an American actress and model known for her work in film and television during the mid-20th century.
-
D.
Virginia Kelley
Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
-
E.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
- 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: Beverly Kane Triple: [Bob Kane, spouse, Beverly Kane]
Generated description
Beverly Kane is known as the wife of Bob Kane, the American comic book artist and co-creator of Batman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beverly Kane Target entity description: Beverly Kane is known as the wife of Bob Kane, the American comic book artist and co-creator of Batman.
-
A.
Evelyn Carnahan
Evelyn Carnahan is a brilliant and adventurous English Egyptologist and librarian who serves as a central heroine in the 1999 film "The Mummy" and its sequels.
-
B.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
-
C.
Beverly Bentley
Beverly Bentley was an American actress and model known for her work in film and television during the mid-20th century.
-
D.
Virginia Kelley
Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
-
E.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3416d3c8190a64d3f4946b84d4b |
completed | March 23, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69c0f7e4db808190858be2c101b038c6 |
completed | March 23, 2026, 8:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f8c533f881908a4f7d84a7e8ee31 |
completed | March 23, 2026, 8:24 a.m. |
Created at: March 22, 2026, 3:48 p.m.