Triple
T13240230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Behavior |
E315260
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Nyles Steele
Nyles Steele is an actor best known for his role in the television series "Good Behavior."
|
E1033881
|
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: Nyles Steele | Statement: [Good Behavior, starring, Nyles Steele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyles Steele Context triple: [Good Behavior, starring, Nyles Steele]
-
A.
Niles Spencer
Niles Spencer was an American painter associated with the Precisionist movement, known for his simplified, geometric depictions of industrial and urban landscapes.
-
B.
Ben Starling
Ben Starling is a character in John Green’s novel "Paper Towns," known as one of Quentin Jacobsen’s loyal and humorous best friends.
-
C.
Maury Sterling
Maury Sterling is an American actor best known for his role as surveillance expert Max in the television series "Homeland."
-
D.
Steven Keaton
Steven Keaton is the liberal, idealistic father and former 1960s activist on the American sitcom "Family Ties," known for clashing politically with his conservative son Alex.
-
E.
Peter Keightley
Peter Keightley is an evolutionary geneticist known for his work on the genetic basis of quantitative traits and the effects of deleterious mutations on genome evolution.
- 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: Nyles Steele Triple: [Good Behavior, starring, Nyles Steele]
Generated description
Nyles Steele is an actor best known for his role in the television series "Good Behavior."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nyles Steele Target entity description: Nyles Steele is an actor best known for his role in the television series "Good Behavior."
-
A.
Niles Spencer
Niles Spencer was an American painter associated with the Precisionist movement, known for his simplified, geometric depictions of industrial and urban landscapes.
-
B.
Ben Starling
Ben Starling is a character in John Green’s novel "Paper Towns," known as one of Quentin Jacobsen’s loyal and humorous best friends.
-
C.
Maury Sterling
Maury Sterling is an American actor best known for his role as surveillance expert Max in the television series "Homeland."
-
D.
Steven Keaton
Steven Keaton is the liberal, idealistic father and former 1960s activist on the American sitcom "Family Ties," known for clashing politically with his conservative son Alex.
-
E.
Peter Keightley
Peter Keightley is an evolutionary geneticist known for his work on the genetic basis of quantitative traits and the effects of deleterious mutations on genome evolution.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c6797c819090bfcc9a5b62ac1c |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717c97ca481909959fbc278a5db59 |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7188ffd0c8190ba761846ec5f9ae0 |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 9, 2026, 9:23 p.m.