Triple
T22881548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeleine L’Engle |
E567485
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Hugh Franklin
Hugh Franklin was an American stage and television actor best known for his long-running role on the soap opera "All My Children."
|
E1559040
|
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: Hugh Franklin | Statement: [Madeleine L’Engle, spouse, Hugh Franklin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Franklin Context triple: [Madeleine L’Engle, spouse, Hugh Franklin]
-
A.
Hugh Franklin
Hugh Franklin was a British suffragist and political activist known for his militant campaigning for women's voting rights in the early 20th century.
-
B.
Morris Franklin
Morris Franklin was a 19th-century American lawyer and businessman best known for co-founding the Metropolitan Life Insurance Company.
-
C.
Howard Franklin
Howard Franklin is an American screenwriter and film director known for his work on movies such as "Quick Change" and "The Name of the Rose."
-
D.
Frank Lippencott
Frank Lippencott is a fictional character best known as one of Eileen Sherwood’s suitors in the musical and film "Wonderful Town."
-
E.
Franklin Dow
Franklin Dow is a cinematographer best known for his work on the acclaimed 2014 documentary film "Virunga."
- 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: Hugh Franklin Triple: [Madeleine L’Engle, spouse, Hugh Franklin]
Generated description
Hugh Franklin was an American stage and television actor best known for his long-running role on the soap opera "All My Children."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugh Franklin Target entity description: Hugh Franklin was an American stage and television actor best known for his long-running role on the soap opera "All My Children."
-
A.
Hugh Franklin
Hugh Franklin was a British suffragist and political activist known for his militant campaigning for women's voting rights in the early 20th century.
-
B.
Morris Franklin
Morris Franklin was a 19th-century American lawyer and businessman best known for co-founding the Metropolitan Life Insurance Company.
-
C.
Howard Franklin
Howard Franklin is an American screenwriter and film director known for his work on movies such as "Quick Change" and "The Name of the Rose."
-
D.
Frank Lippencott
Frank Lippencott is a fictional character best known as one of Eileen Sherwood’s suitors in the musical and film "Wonderful Town."
-
E.
Franklin Dow
Franklin Dow is a cinematographer best known for his work on the acclaimed 2014 documentary film "Virunga."
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5cd98c8190b3c31ffd4c066331 |
completed | April 29, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae9e1a24819087d826cf677fcad5 |
completed | May 19, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0bb08f167081908ff4bd13e291afb5 |
completed | May 19, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb10db81c8190a23d57c422a71675 |
completed | May 19, 2026, 12:38 a.m. |
Created at: April 17, 2026, 3:39 p.m.