Triple
T13814870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murdoch Mysteries |
E331986
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object |
Alex Pugsley
Alex Pugsley is a Canadian writer and screenwriter known for his work in television and fiction.
|
E1070132
|
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: Alex Pugsley | Statement: [Murdoch Mysteries, createdBy, Alex Pugsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Pugsley Context triple: [Murdoch Mysteries, createdBy, Alex Pugsley]
-
A.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
B.
Jeremy Spenser
Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
-
C.
Alex Convery
Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
-
D.
Gavin Carter
Gavin Carter is a video game producer best known for his work on Bethesda Game Studios' role-playing game The Elder Scrolls IV: Oblivion.
-
E.
Ash Morgan
Ash Morgan is a central con artist character in the British television drama series "Hustle," known for his technical expertise and role in executing elaborate scams.
- 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: Alex Pugsley Triple: [Murdoch Mysteries, createdBy, Alex Pugsley]
Generated description
Alex Pugsley is a Canadian writer and screenwriter known for his work in television and fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Pugsley Target entity description: Alex Pugsley is a Canadian writer and screenwriter known for his work in television and fiction.
-
A.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
B.
Jeremy Spenser
Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
-
C.
Alex Convery
Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
-
D.
Gavin Carter
Gavin Carter is a video game producer best known for his work on Bethesda Game Studios' role-playing game The Elder Scrolls IV: Oblivion.
-
E.
Ash Morgan
Ash Morgan is a central con artist character in the British television drama series "Hustle," known for his technical expertise and role in executing elaborate scams.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02806e148190996f58934e66d7d8 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce68804881909546073eb72c504c |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd56da288190b2bd33bc496c3fb9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb039fdb1c8190ad5286d1cfe80a29 |
completed | May 6, 2026, 9:02 a.m. |
Created at: April 9, 2026, 10:12 p.m.