Triple
T12321140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan Heritage |
E293730
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Una Morgan
Una Morgan is a Jamaican singer and keyboardist best known as a member of the Grammy-winning reggae band Morgan Heritage.
|
E1001458
|
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: Una Morgan | Statement: [Morgan Heritage, hasPart, Una Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Una Morgan Context triple: [Morgan Heritage, hasPart, Una Morgan]
-
A.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
B.
Sabina Morgan
Sabina Morgan was the former wife of comedian and actor Tracy Morgan, known primarily for her long-term relationship with him before their divorce.
-
C.
Jane Morgan
Jane Morgan is an American traditional pop singer who gained popularity in the 1950s and 1960s with a series of hit recordings in both the United States and Europe.
-
D.
Jane Morgan
Jane Morgan was an American actress best known for her role as the school secretary in the classic radio and television sitcom "Our Miss Brooks."
-
E.
Mia Morgan
Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
- 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: Una Morgan Triple: [Morgan Heritage, hasPart, Una Morgan]
Generated description
Una Morgan is a Jamaican singer and keyboardist best known as a member of the Grammy-winning reggae band Morgan Heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Una Morgan Target entity description: Una Morgan is a Jamaican singer and keyboardist best known as a member of the Grammy-winning reggae band Morgan Heritage.
-
A.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
B.
Sabina Morgan
Sabina Morgan was the former wife of comedian and actor Tracy Morgan, known primarily for her long-term relationship with him before their divorce.
-
C.
Jane Morgan
Jane Morgan is an American traditional pop singer who gained popularity in the 1950s and 1960s with a series of hit recordings in both the United States and Europe.
-
D.
Jane Morgan
Jane Morgan was an American actress best known for her role as the school secretary in the classic radio and television sitcom "Our Miss Brooks."
-
E.
Mia Morgan
Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684ce31808190b66bd0ba1d9d2862 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dac5cc8190b4bc2d81186c9266 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6869156048190b548ecd04561deb8 |
completed | May 2, 2026, 11:19 p.m. |
Created at: April 8, 2026, 9:53 p.m.