Triple
T17798217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem |
E444348
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Joe Doyle
Joe Doyle is an actor best known for his role in the supernatural horror television series "Salem."
|
E1365277
|
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: Joe Doyle | Statement: [Salem, castMember, Joe Doyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Doyle Context triple: [Salem, castMember, Joe Doyle]
-
A.
Jake Doyle
Jake Doyle is the wisecracking private investigator protagonist of the Canadian television series "Republic of Doyle," set in St. John’s, Newfoundland.
-
B.
Kevin Doyle
Kevin Doyle is the witty, secretly romantic journalist and love interest of Katherine Heigl’s character in the romantic comedy film "27 Dresses."
-
C.
Kevin Doyle
Kevin Doyle is a British actor best known for his role as Joseph Molesley in the television series "Downton Abbey."
-
D.
Ray Doolan
Ray Doolan is an Australian local government official who serves as the mayor of Carrathool Shire in New South Wales.
-
E.
Sam Donnelly
Sam Donnelly is a television producer best known for serving as an executive producer on the popular talent competition show "America's Got Talent."
- 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: Joe Doyle Triple: [Salem, castMember, Joe Doyle]
Generated description
Joe Doyle is an actor best known for his role in the supernatural horror television series "Salem."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Doyle Target entity description: Joe Doyle is an actor best known for his role in the supernatural horror television series "Salem."
-
A.
Jake Doyle
Jake Doyle is the wisecracking private investigator protagonist of the Canadian television series "Republic of Doyle," set in St. John’s, Newfoundland.
-
B.
Kevin Doyle
Kevin Doyle is the witty, secretly romantic journalist and love interest of Katherine Heigl’s character in the romantic comedy film "27 Dresses."
-
C.
Kevin Doyle
Kevin Doyle is a British actor best known for his role as Joseph Molesley in the television series "Downton Abbey."
-
D.
Ray Doolan
Ray Doolan is an Australian local government official who serves as the mayor of Carrathool Shire in New South Wales.
-
E.
Sam Donnelly
Sam Donnelly is a television producer best known for serving as an executive producer on the popular talent competition show "America's Got Talent."
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fcfdc8819086f41152860dfe18 |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700c58c008190be11ddd0c0d13595 |
completed | May 15, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a07026b3cd08190b595dd7c724ff5e0 |
completed | May 15, 2026, 11:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0702f869f0819090aec0c308b0d888 |
completed | May 15, 2026, 11:26 a.m. |
Created at: April 10, 2026, 10:13 a.m.