Triple
T7354347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bachelor in Paradise |
E169584
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Tom McAdoo
Tom McAdoo is a television editor known for his work on the reality dating series "Bachelor in Paradise."
|
E658426
|
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: Tom McAdoo | Statement: [Bachelor in Paradise, editedBy, Tom McAdoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom McAdoo Context triple: [Bachelor in Paradise, editedBy, Tom McAdoo]
-
A.
Jerry Sloan
Jerry Sloan was a Hall of Fame NBA head coach best known for leading the Utah Jazz to sustained success throughout the 1990s and 2000s.
-
B.
Red Holzman
Red Holzman was a Hall of Fame basketball coach best known for leading the New York Knicks to two NBA championships in the early 1970s.
-
C.
Bob McAdoo
Bob McAdoo is an American Hall of Fame basketball player known for his prolific scoring in the 1970s NBA, winning an MVP award and multiple scoring titles.
-
D.
Clyde Lovellette
Clyde Lovellette was an American Hall of Fame basketball center who starred at the University of Kansas and went on to win multiple NBA championships.
-
E.
John Thompson
John Thompson was a prominent 19th-century American banker and financier best known for establishing what became the Chase Manhattan Bank.
- 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: Tom McAdoo Triple: [Bachelor in Paradise, editedBy, Tom McAdoo]
Generated description
Tom McAdoo is a television editor known for his work on the reality dating series "Bachelor in Paradise."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom McAdoo Target entity description: Tom McAdoo is a television editor known for his work on the reality dating series "Bachelor in Paradise."
-
A.
Jerry Sloan
Jerry Sloan was a Hall of Fame NBA head coach best known for leading the Utah Jazz to sustained success throughout the 1990s and 2000s.
-
B.
Red Holzman
Red Holzman was a Hall of Fame basketball coach best known for leading the New York Knicks to two NBA championships in the early 1970s.
-
C.
Bob McAdoo
Bob McAdoo is an American Hall of Fame basketball player known for his prolific scoring in the 1970s NBA, winning an MVP award and multiple scoring titles.
-
D.
Clyde Lovellette
Clyde Lovellette was an American Hall of Fame basketball center who starred at the University of Kansas and went on to win multiple NBA championships.
-
E.
John Thompson
John Thompson was a prominent 19th-century American banker and financier best known for establishing what became the Chase Manhattan Bank.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faa25960819084ecb6dbf9369ba5 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fc2c90488190bd3aa5bf72606723 |
completed | March 28, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb2605c819080697768d00c77d7 |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:05 p.m.