Triple
T22948730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Show Me Love |
E569946
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Morgan Matthews
Morgan Matthews is a music producer known for his work on tracks such as "Show Me Love."
|
E1563409
|
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: Morgan Matthews | Statement: [Show Me Love, producer, Morgan Matthews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Matthews Context triple: [Show Me Love, producer, Morgan Matthews]
-
A.
Morgan Woodward
Morgan Woodward was an American character actor best known for his numerous guest roles on classic television series such as "Gunsmoke," "Dallas," and "Star Trek."
-
B.
Morgan O’Sullivan
Morgan O’Sullivan is an Irish film and television producer known for his work on major historical drama series and international co-productions.
-
C.
Morgan Giles
Morgan Giles is a musician best known as a member of the punk/indie rock band The Underground Railroad to Candyland.
-
D.
Morgan Henderson
Morgan Henderson is an American multi-instrumentalist and composer best known as a member of the indie folk band Fleet Foxes and for his work with various experimental and rock projects.
-
E.
Morgan Alexander
Morgan Alexander is a fictional character in the romantic sports film "Just Wright," which centers on basketball and personal relationships.
- 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: Morgan Matthews Triple: [Show Me Love, producer, Morgan Matthews]
Generated description
Morgan Matthews is a music producer known for his work on tracks such as "Show Me Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgan Matthews Target entity description: Morgan Matthews is a music producer known for his work on tracks such as "Show Me Love."
-
A.
Morgan Woodward
Morgan Woodward was an American character actor best known for his numerous guest roles on classic television series such as "Gunsmoke," "Dallas," and "Star Trek."
-
B.
Morgan O’Sullivan
Morgan O’Sullivan is an Irish film and television producer known for his work on major historical drama series and international co-productions.
-
C.
Morgan Giles
Morgan Giles is a musician best known as a member of the punk/indie rock band The Underground Railroad to Candyland.
-
D.
Morgan Henderson
Morgan Henderson is an American multi-instrumentalist and composer best known as a member of the indie folk band Fleet Foxes and for his work with various experimental and rock projects.
-
E.
Morgan Alexander
Morgan Alexander is a fictional character in the romantic sports film "Just Wright," which centers on basketball and personal relationships.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bca161ddc8190923967d024e894ba |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcaebed688190b2ea74c588922d98 |
completed | May 19, 2026, 2:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcbec354081909dbeeb389e86d38c |
completed | May 19, 2026, 2:33 a.m. |
Created at: April 17, 2026, 3:46 p.m.