Triple
T2200521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Country |
E50477
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
Clara Bingham
Clara Bingham is an American journalist, author, and documentary producer known for her investigative work on gender, power, and workplace harassment.
|
E376939
|
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: Clara Bingham | Statement: [North Country, basedOn, Clara Bingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Bingham Context triple: [North Country, basedOn, Clara Bingham]
-
A.
Lucy Ann Shaler
Lucy Ann Shaler was the wife of American naval officer and War of 1812 hero Commodore Thomas Macdonough.
-
B.
Mary Hortense Kimball
Mary Hortense Kimball was the wife of American businessman and retail magnate James Cash Penney, founder of the J. C. Penney department store chain.
-
C.
Clara T. Bracy
Clara T. Bracy was a British-born stage and silent film actress active in the early 20th century, known for her work in pioneering American cinema.
-
D.
Clara Clayton
Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
-
E.
Amabel James
Amabel James is known as the spouse of British businessman and hedge fund manager Tony James.
- 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: Clara Bingham Triple: [North Country, basedOn, Clara Bingham]
Generated description
Clara Bingham is an American journalist, author, and documentary producer known for her investigative work on gender, power, and workplace harassment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clara Bingham Target entity description: Clara Bingham is an American journalist, author, and documentary producer known for her investigative work on gender, power, and workplace harassment.
-
A.
Lucy Ann Shaler
Lucy Ann Shaler was the wife of American naval officer and War of 1812 hero Commodore Thomas Macdonough.
-
B.
Mary Hortense Kimball
Mary Hortense Kimball was the wife of American businessman and retail magnate James Cash Penney, founder of the J. C. Penney department store chain.
-
C.
Clara T. Bracy
Clara T. Bracy was a British-born stage and silent film actress active in the early 20th century, known for her work in pioneering American cinema.
-
D.
Clara Clayton
Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
-
E.
Amabel James
Amabel James is known as the spouse of British businessman and hedge fund manager Tony James.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48810202c8190a2a8d5ae849b6d9e |
completed | March 13, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_69b48a9a55fc8190bc7de7c2c1e9bf76 |
completed | March 13, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4a3d9377481909bc0392a1176601b |
completed | March 13, 2026, 11:55 p.m. |
Created at: March 4, 2026, 7:46 p.m.