Triple
T14191570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sexy Beast |
E351724
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Sam Sneade
Sam Sneade is a film editor known for his work on the British crime comedy film "Sexy Beast."
|
E1086561
|
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: Sam Sneade | Statement: [Sexy Beast, editor, Sam Sneade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Sneade Context triple: [Sexy Beast, editor, Sam Sneade]
-
A.
Graham Sleight
Graham Sleight is a British critic and editor best known for his work in science fiction and fantasy literature.
-
B.
Sam Watters
Sam Watters is an American songwriter and record producer best known as a member of the 1990s R&B group Color Me Badd and for writing and producing hits for artists like Jessica Simpson, Kelly Clarkson, and Anastacia.
-
C.
Matt Squire
Matt Squire is an American record producer and songwriter known for his work with prominent pop-punk, rock, and pop artists such as Panic! at the Disco, All Time Low, and Ariana Grande.
-
D.
Jeremy Sloane
Jeremy Sloane is a fictional character from the romantic comedy film "Leap Year."
-
E.
Troy Corser
Troy Corser is an Australian motorcycle racer best known as a two-time Superbike World Champion and one of the series’ most successful and experienced riders.
- 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: Sam Sneade Triple: [Sexy Beast, editor, Sam Sneade]
Generated description
Sam Sneade is a film editor known for his work on the British crime comedy film "Sexy Beast."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Sneade Target entity description: Sam Sneade is a film editor known for his work on the British crime comedy film "Sexy Beast."
-
A.
Graham Sleight
Graham Sleight is a British critic and editor best known for his work in science fiction and fantasy literature.
-
B.
Sam Watters
Sam Watters is an American songwriter and record producer best known as a member of the 1990s R&B group Color Me Badd and for writing and producing hits for artists like Jessica Simpson, Kelly Clarkson, and Anastacia.
-
C.
Matt Squire
Matt Squire is an American record producer and songwriter known for his work with prominent pop-punk, rock, and pop artists such as Panic! at the Disco, All Time Low, and Ariana Grande.
-
D.
Jeremy Sloane
Jeremy Sloane is a fictional character from the romantic comedy film "Leap Year."
-
E.
Troy Corser
Troy Corser is an Australian motorcycle racer best known as a two-time Superbike World Champion and one of the series’ most successful and experienced riders.
- 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.