Triple
T16401760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music to Be Murdered By |
E398318
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Marsh
Marsh is a track by Eminem featured on his 2020 studio album "Music to Be Murdered By."
|
E1212326
|
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: Marsh | Statement: [Music to Be Murdered By, hasPart, Marsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marsh Context triple: [Music to Be Murdered By, hasPart, Marsh]
-
A.
Marsh
Marsh is the middle name of William Marsh Rice, the American businessman and philanthropist who founded Rice University in Houston, Texas.
-
B.
Marsh
Marsh is the maiden surname of American country music singer and songwriter Dottie West.
-
C.
Marsh
Marsh is a global insurance brokerage and risk management firm providing advisory and brokerage services to businesses and individuals worldwide.
-
D.
Marsh
Marsh is a surname most notably associated with Mae Marsh, an American silent film actress renowned for her roles in early 20th-century cinema.
-
E.
Marshlands
Marshlands are expansive wetland ecosystems characterized by waterlogged soils and dense aquatic vegetation, providing critical habitats for diverse wildlife and supporting traditional human livelihoods.
- 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: Marsh Triple: [Music to Be Murdered By, hasPart, Marsh]
Generated description
Marsh is a track by Eminem featured on his 2020 studio album "Music to Be Murdered By."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marsh Target entity description: Marsh is a track by Eminem featured on his 2020 studio album "Music to Be Murdered By."
-
A.
Marsh
Marsh is the middle name of William Marsh Rice, the American businessman and philanthropist who founded Rice University in Houston, Texas.
-
B.
Marsh
Marsh is the maiden surname of American country music singer and songwriter Dottie West.
-
C.
Marsh
Marsh is a global insurance brokerage and risk management firm providing advisory and brokerage services to businesses and individuals worldwide.
-
D.
Marsh
Marsh is a surname most notably associated with Mae Marsh, an American silent film actress renowned for her roles in early 20th-century cinema.
-
E.
Marshlands
Marshlands are expansive wetland ecosystems characterized by waterlogged soils and dense aquatic vegetation, providing critical habitats for diverse wildlife and supporting traditional human livelihoods.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cfb2fc8190bbc2765247c4b4e4 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c5e7b4881908245228730a65876 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003e490bf0819093acd954a4cd9b0c |
completed | May 10, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003f1037408190a5edd4a5258b50c9 |
completed | May 10, 2026, 8:17 a.m. |
Created at: April 10, 2026, 5:09 a.m.