Triple
T14191581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sexy Beast |
E351724
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Teddy Bass
Teddy Bass is a ruthless and manipulative London crime boss in the British gangster film "Sexy Beast."
|
E1086563
|
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: Teddy Bass | Statement: [Sexy Beast, mainCharacter, Teddy Bass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teddy Bass Context triple: [Sexy Beast, mainCharacter, Teddy Bass]
-
A.
Teddy Sears
Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
-
B.
Ben Bass
Ben Bass is a resourceful and determined surgeon who becomes stranded in the wilderness after a plane crash in the romantic survival drama "The Mountain Between Us."
-
C.
Ben Bass
Ben Bass is a Canadian-American actor best known for his role as Detective Sam Swarek on the television series "Rookie Blue."
-
D.
Michael Bassick
Michael Bassick is a film producer known for his work on the 2011 financial thriller "Margin Call" and other independent and studio-backed projects.
-
E.
Brandon Bass
Brandon Bass is an American former NBA power forward who also played professionally overseas, including a stint in the Chinese Basketball Association.
- 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: Teddy Bass Triple: [Sexy Beast, mainCharacter, Teddy Bass]
Generated description
Teddy Bass is a ruthless and manipulative London crime boss in the British gangster film "Sexy Beast."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teddy Bass Target entity description: Teddy Bass is a ruthless and manipulative London crime boss in the British gangster film "Sexy Beast."
-
A.
Teddy Sears
Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
-
B.
Ben Bass
Ben Bass is a resourceful and determined surgeon who becomes stranded in the wilderness after a plane crash in the romantic survival drama "The Mountain Between Us."
-
C.
Ben Bass
Ben Bass is a Canadian-American actor best known for his role as Detective Sam Swarek on the television series "Rookie Blue."
-
D.
Michael Bassick
Michael Bassick is a film producer known for his work on the 2011 financial thriller "Margin Call" and other independent and studio-backed projects.
-
E.
Brandon Bass
Brandon Bass is an American former NBA power forward who also played professionally overseas, including a stint in the Chinese Basketball Association.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1946eb68819096adf3c16a39818d |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1eed1008819088635be43fbb1439 |
completed | May 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1f7c5d208190bab5d57e931fd082 |
completed | May 7, 2026, 11:25 p.m. |
Created at: April 10, 2026, 1:04 a.m.