Triple
T7499556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snakes on a Plane |
E177222
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Flex Alexander
Flex Alexander is an American actor and comedian known for his roles in television sitcoms and films, including the thriller "Snakes on a Plane."
|
E668108
|
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: Flex Alexander | Statement: [Snakes on a Plane, stars, Flex Alexander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flex Alexander Context triple: [Snakes on a Plane, stars, Flex Alexander]
-
A.
Felix Mills
Felix Mills was an American composer and arranger best known for his work on film scores and radio programs in the mid-20th century.
-
B.
Grant Aleksander
Grant Aleksander is an American actor best known for his long-running role as Phillip Spaulding on the soap opera "Guiding Light."
-
C.
Will Alexander
Will Alexander is one of the children of American politician and former U.S. Senator Lamar Alexander.
-
D.
Dave Alexander
Dave Alexander was an American bassist best known for his work with the influential proto-punk band The Stooges in the late 1960s and early 1970s.
-
E.
Dan Severn
Dan Severn is an American mixed martial artist, professional wrestler, and UFC Hall of Famer known as one of the pioneering figures of early MMA.
- 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: Flex Alexander Triple: [Snakes on a Plane, stars, Flex Alexander]
Generated description
Flex Alexander is an American actor and comedian known for his roles in television sitcoms and films, including the thriller "Snakes on a Plane."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flex Alexander Target entity description: Flex Alexander is an American actor and comedian known for his roles in television sitcoms and films, including the thriller "Snakes on a Plane."
-
A.
Felix Mills
Felix Mills was an American composer and arranger best known for his work on film scores and radio programs in the mid-20th century.
-
B.
Grant Aleksander
Grant Aleksander is an American actor best known for his long-running role as Phillip Spaulding on the soap opera "Guiding Light."
-
C.
Will Alexander
Will Alexander is one of the children of American politician and former U.S. Senator Lamar Alexander.
-
D.
Dave Alexander
Dave Alexander was an American bassist best known for his work with the influential proto-punk band The Stooges in the late 1960s and early 1970s.
-
E.
Dan Severn
Dan Severn is an American mixed martial artist, professional wrestler, and UFC Hall of Famer known as one of the pioneering figures of early MMA.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f598dfac8190a123daaac0784aee |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c900ad081908506a2097f7fd30b |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83d27190481909e6659ef83d3fde7 |
completed | March 28, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83de0163c8190a16ea88ef24269d9 |
completed | March 28, 2026, 8:45 p.m. |
Created at: March 27, 2026, 3:44 p.m.