Triple
T16161530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder Mystery |
E392190
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Tom Costain
Tom Costain was a film editor known for his work on early 20th-century American movies, including the mystery film "Murder Mystery."
|
E1200359
|
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 Costain | Statement: [Murder Mystery, editedBy, Tom Costain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Costain Context triple: [Murder Mystery, editedBy, Tom Costain]
-
A.
Tom Costain
Tom Costain is a film editor known for his work on major Hollywood comedies, including the Adam Sandler sequel "Grown Ups 2."
-
B.
Ken Lowe
Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
-
C.
Ted Adams
Ted Adams is an American comic book executive and producer best known as the co-founder and longtime CEO of IDW Publishing.
-
D.
Tim Cain
Tim Cain is an American video game designer and programmer best known as one of the original creators of the Fallout series and a prominent figure in classic computer role-playing games.
-
E.
Charles Roberts
Charles Roberts is a former Canadian Football League running back best known for his prolific rushing career with the Winnipeg Blue Bombers.
- 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 Costain Triple: [Murder Mystery, editedBy, Tom Costain]
Generated description
Tom Costain was a film editor known for his work on early 20th-century American movies, including the mystery film "Murder Mystery."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Costain Target entity description: Tom Costain was a film editor known for his work on early 20th-century American movies, including the mystery film "Murder Mystery."
-
A.
Tom Costain
Tom Costain is a film editor known for his work on major Hollywood comedies, including the Adam Sandler sequel "Grown Ups 2."
-
B.
Ken Lowe
Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
-
C.
Ted Adams
Ted Adams is an American comic book executive and producer best known as the co-founder and longtime CEO of IDW Publishing.
-
D.
Tim Cain
Tim Cain is an American video game designer and programmer best known as one of the original creators of the Fallout series and a prominent figure in classic computer role-playing games.
-
E.
Charles Roberts
Charles Roberts is a former Canadian Football League running back best known for his prolific rushing career with the Winnipeg Blue Bombers.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5f0cb48190aae995d88382e055 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000785fcd481909ddf92cf9cc5c0aa |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00086c32c48190b7cf3ef2a97c7c9f |
completed | May 10, 2026, 4:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0008dbeb988190bbfb590f945ace02 |
completed | May 10, 2026, 4:26 a.m. |
Created at: April 10, 2026, 5:02 a.m.