Triple
T14631011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Very Bad Things |
E343476
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Russell B. McKenzie
Russell B. McKenzie is an actor known for appearing in the dark comedy crime film "Very Bad Things."
|
E1221768
|
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: Russell B. McKenzie | Statement: [Very Bad Things, castMember, Russell B. McKenzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russell B. McKenzie Context triple: [Very Bad Things, castMember, Russell B. McKenzie]
-
A.
Russell O. Gillard
Russell O. Gillard was the husband of silent film actress Lottie Pickford, sister of movie star Mary Pickford.
-
B.
Vernon J. Mungo
Vernon J. Mungo is a songwriter and music producer known for his work on tracks such as "Who Is She 2 U."
-
C.
Donald C. MacPherson
Donald C. MacPherson was the injured consumer whose landmark lawsuit against Buick Motor Company helped establish modern product liability law in the United States.
-
D.
James A. Brundage
James A. Brundage is an American historian and legal scholar best known for his influential work on medieval canon law and the history of sexuality.
-
E.
Donald R. McLennan
Donald R. McLennan was an American insurance executive and entrepreneur best known as the co-founder of the global professional services firm Marsh & McLennan.
- 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: Russell B. McKenzie Triple: [Very Bad Things, castMember, Russell B. McKenzie]
Generated description
Russell B. McKenzie is an actor known for appearing in the dark comedy crime film "Very Bad Things."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Russell B. McKenzie Target entity description: Russell B. McKenzie is an actor known for appearing in the dark comedy crime film "Very Bad Things."
-
A.
Russell O. Gillard
Russell O. Gillard was the husband of silent film actress Lottie Pickford, sister of movie star Mary Pickford.
-
B.
Vernon J. Mungo
Vernon J. Mungo is a songwriter and music producer known for his work on tracks such as "Who Is She 2 U."
-
C.
Donald C. MacPherson
Donald C. MacPherson was the injured consumer whose landmark lawsuit against Buick Motor Company helped establish modern product liability law in the United States.
-
D.
James A. Brundage
James A. Brundage is an American historian and legal scholar best known for his influential work on medieval canon law and the history of sexuality.
-
E.
Donald R. McLennan
Donald R. McLennan was an American insurance executive and entrepreneur best known as the co-founder of the global professional services firm Marsh & McLennan.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ec7a4748190822e66a756bc95b9 |
completed | May 10, 2026, 11:40 a.m. |
| NEDg | Description generation | batch_6a006fa02870819083c1b25eb4c8ffad |
completed | May 10, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0070aee0248190b3463b98a739d1ae |
completed | May 10, 2026, 11:49 a.m. |
Created at: April 10, 2026, 1:26 a.m.