Triple
T15987450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Morgan |
E387733
|
entity |
| Predicate | hasMother |
P1909
|
FINISHED |
| Object |
Susan Moore
Susan Moore is a fictional character in the soap opera "General Hospital," known primarily as the biological mother of Jason Morgan.
|
E1187945
|
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: Susan Moore | Statement: [Jason Morgan, hasMother, Susan Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Moore Context triple: [Jason Morgan, hasMother, Susan Moore]
-
A.
Susan Moore
Susan Moore is a fictional character portrayed by actress Lauren Hutton in the film "Welcome to L.A."
-
B.
Elizabeth Claire Kemper
Elizabeth Claire Kemper is an American actress and comedian best known for her roles on the TV series "The Office" and "Unbreakable Kimmy Schmidt."
-
C.
Rachel Moore
Rachel Moore is a common personal name shared by multiple individuals, including figures in fields such as the arts, academia, and entertainment.
-
D.
Michelle Stevens
Michelle Stevens is a relatively common personal name that may refer to multiple individuals across different fields, rather than a single widely recognized public figure.
-
E.
Kate Moore
Kate Moore is a contemporary composer known for her innovative, rhythmically driven works that blend classical, minimalist, and experimental styles.
- 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: Susan Moore Triple: [Jason Morgan, hasMother, Susan Moore]
Generated description
Susan Moore is a fictional character in the soap opera "General Hospital," known primarily as the biological mother of Jason Morgan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Moore Target entity description: Susan Moore is a fictional character in the soap opera "General Hospital," known primarily as the biological mother of Jason Morgan.
-
A.
Susan Moore
Susan Moore is a fictional character portrayed by actress Lauren Hutton in the film "Welcome to L.A."
-
B.
Elizabeth Claire Kemper
Elizabeth Claire Kemper is an American actress and comedian best known for her roles on the TV series "The Office" and "Unbreakable Kimmy Schmidt."
-
C.
Rachel Moore
Rachel Moore is a common personal name shared by multiple individuals, including figures in fields such as the arts, academia, and entertainment.
-
D.
Michelle Stevens
Michelle Stevens is a relatively common personal name that may refer to multiple individuals across different fields, rather than a single widely recognized public figure.
-
E.
Kate Moore
Kate Moore is a contemporary composer known for her innovative, rhythmically driven works that blend classical, minimalist, and experimental styles.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575993948190a05d60fc9d0c05fa |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cfc8d08190a02abc90c889c8e1 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc4ed71648190983a0a4150c4d8c4 |
completed | May 9, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5a5b46881908589fd1dabef5378 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.