Triple
T11680539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Heart |
E277602
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
John Boylan
John Boylan is a Canadian actor known for his extensive work in film and television, including roles in series like Being Erica and films such as The Story of Luke.
|
E940589
|
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: John Boylan | Statement: [American Heart, castMember, John Boylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Boylan Context triple: [American Heart, castMember, John Boylan]
-
A.
John Boylan
John Boylan is an American record producer best known for his work with artists such as Boston, Linda Ronstadt, and the Eagles.
-
B.
Blazes Boylan
Blazes Boylan is a charismatic and womanizing Dublin music promoter best known as Molly Bloom’s lover in James Joyce’s novel "Ulysses."
-
C.
Michael Halperin
Michael Halperin was a Zionist activist and early Jewish pioneer associated with the establishment of the city of Rehovot in what is now Israel.
-
D.
Rick Martin
Rick Martin is a musician best known as a member of the Scottish alternative rock band Beecake.
-
E.
Rick Martin
Rick Martin is the fictional protagonist of the 1955 aviation drama film "Top Gun," portrayed as a skilled and daring U.S. Air Force pilot.
- 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: John Boylan Triple: [American Heart, castMember, John Boylan]
Generated description
John Boylan is a Canadian actor known for his extensive work in film and television, including roles in series like Being Erica and films such as The Story of Luke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Boylan Target entity description: John Boylan is a Canadian actor known for his extensive work in film and television, including roles in series like Being Erica and films such as The Story of Luke.
-
A.
John Boylan
John Boylan is an American record producer best known for his work with artists such as Boston, Linda Ronstadt, and the Eagles.
-
B.
Blazes Boylan
Blazes Boylan is a charismatic and womanizing Dublin music promoter best known as Molly Bloom’s lover in James Joyce’s novel "Ulysses."
-
C.
Michael Halperin
Michael Halperin was a Zionist activist and early Jewish pioneer associated with the establishment of the city of Rehovot in what is now Israel.
-
D.
Rick Martin
Rick Martin is a musician best known as a member of the Scottish alternative rock band Beecake.
-
E.
Rick Martin
Rick Martin is the fictional protagonist of the 1955 aviation drama film "Top Gun," portrayed as a skilled and daring U.S. Air Force pilot.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a461b0908190bef4e1c6777affcf |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef141134bc81908c0cfb0a3711c115 |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.