Triple
T6150391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miracle |
E137184
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Sean McCann
Sean McCann was a Canadian character actor known for his extensive work in film, television, and theatre from the 1960s onward.
|
E574029
|
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: Sean McCann | Statement: [Miracle, castMember, Sean McCann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean McCann Context triple: [Miracle, castMember, Sean McCann]
-
A.
Conor McCaughan
Conor McCaughan is a film producer known for his work on independent and arthouse films, including the critically acclaimed western "Slow West."
-
B.
Andy Cullen
Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
-
C.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
-
D.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
E.
Michael Whelan
Michael Whelan is an acclaimed American artist best known for his influential science fiction and fantasy book and album cover illustrations.
- 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: Sean McCann Triple: [Miracle, castMember, Sean McCann]
Generated description
Sean McCann was a Canadian character actor known for his extensive work in film, television, and theatre from the 1960s onward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sean McCann Target entity description: Sean McCann was a Canadian character actor known for his extensive work in film, television, and theatre from the 1960s onward.
-
A.
Conor McCaughan
Conor McCaughan is a film producer known for his work on independent and arthouse films, including the critically acclaimed western "Slow West."
-
B.
Andy Cullen
Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
-
C.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
-
D.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
E.
Michael Whelan
Michael Whelan is an acclaimed American artist best known for his influential science fiction and fantasy book and album cover illustrations.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce329648190a03ba0233df841fa |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1417c33d08190bd42558cc734601f |
completed | March 23, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69c146d3fa348190973f78a581e98632 |
completed | March 23, 2026, 1:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c14766c4d48190afe011afb45543dc |
completed | March 23, 2026, 2 p.m. |
Created at: March 22, 2026, 4:16 p.m.