Triple
T16684347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erica Kane |
E405419
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Mona Kane
Mona Kane is a long-running supporting character on the soap opera "All My Children," best known as the kind, moral, and often-suffering mother of central heroine Erica Kane.
|
E1236624
|
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: Mona Kane | Statement: [Erica Kane, mother, Mona Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mona Kane Context triple: [Erica Kane, mother, Mona Kane]
-
A.
Marilyn Vance
Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
-
B.
Beth Kane
Beth Kane is a DC Comics character best known as the twin sister and tragic nemesis of Batwoman, often appearing under the villainous persona Alice.
-
C.
Julie Monroe
Julie Monroe is a film editor known for her work on major motion pictures, including the financial drama "Wall Street: Money Never Sleeps."
-
D.
Vina Wray
Vina Wray is an alternate name for Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
-
E.
Maxene Reynolds
Maxene Reynolds is the daughter of legendary American actress and singer Debbie Reynolds.
- 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: Mona Kane Triple: [Erica Kane, mother, Mona Kane]
Generated description
Mona Kane is a long-running supporting character on the soap opera "All My Children," best known as the kind, moral, and often-suffering mother of central heroine Erica Kane.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mona Kane Target entity description: Mona Kane is a long-running supporting character on the soap opera "All My Children," best known as the kind, moral, and often-suffering mother of central heroine Erica Kane.
-
A.
Marilyn Vance
Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
-
B.
Beth Kane
Beth Kane is a DC Comics character best known as the twin sister and tragic nemesis of Batwoman, often appearing under the villainous persona Alice.
-
C.
Julie Monroe
Julie Monroe is a film editor known for her work on major motion pictures, including the financial drama "Wall Street: Money Never Sleeps."
-
D.
Vina Wray
Vina Wray is an alternate name for Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
-
E.
Maxene Reynolds
Maxene Reynolds is the daughter of legendary American actress and singer Debbie Reynolds.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d71a66881908c8d06cc074fdf29 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb029fa081909c3e52d09637541a |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbf6dd488190ad624bb6c35ac086 |
completed | May 10, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc633abc8190a86808986ba294ec |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:19 a.m.