Triple
T12958720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Looking for Alaska (miniseries) |
E310081
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Jay Lee
Jay Lee is an actor best known for his role in the television miniseries adaptation of John Green's novel "Looking for Alaska."
|
E1013782
|
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: Jay Lee | Statement: [Looking for Alaska (miniseries), starredActor, Jay Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Lee Context triple: [Looking for Alaska (miniseries), starredActor, Jay Lee]
-
A.
Jack Lee
Jack Lee was a British film director best known for his work on mid-20th-century dramas and war films.
-
B.
Jake E. Lee
Jake E. Lee is an American hard rock and heavy metal guitarist best known for his work with Ozzy Osbourne in the 1980s and as the founder of the band Badlands.
-
C.
Marc Lee
Marc Lee is a U.S. Navy SEAL and close comrade of Chris Kyle who is depicted as a key supporting character in the film "American Sniper."
-
D.
Mark Lee
Mark Lee is an Australian actor best known for his leading role in the acclaimed World War I film "Gallipoli."
-
E.
Mark Lee
Mark Lee is a prominent contemporary architect known for his minimalist, context-sensitive designs and leadership of the Los Angeles–based firm Johnston Marklee.
- 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: Jay Lee Triple: [Looking for Alaska (miniseries), starredActor, Jay Lee]
Generated description
Jay Lee is an actor best known for his role in the television miniseries adaptation of John Green's novel "Looking for Alaska."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Lee Target entity description: Jay Lee is an actor best known for his role in the television miniseries adaptation of John Green's novel "Looking for Alaska."
-
A.
Jack Lee
Jack Lee was a British film director best known for his work on mid-20th-century dramas and war films.
-
B.
Jake E. Lee
Jake E. Lee is an American hard rock and heavy metal guitarist best known for his work with Ozzy Osbourne in the 1980s and as the founder of the band Badlands.
-
C.
Marc Lee
Marc Lee is a U.S. Navy SEAL and close comrade of Chris Kyle who is depicted as a key supporting character in the film "American Sniper."
-
D.
Mark Lee
Mark Lee is an Australian actor best known for his leading role in the acclaimed World War I film "Gallipoli."
-
E.
Mark Lee
Mark Lee is a prominent contemporary architect known for his minimalist, context-sensitive designs and leadership of the Los Angeles–based firm Johnston Marklee.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8dddd80819094c80ef405024419 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 5:44 p.m.