Triple
T3786427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super 8 |
E85540
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Ryan Lee
Ryan Lee is an American actor best known for his role in the science-fiction film "Super 8" and appearances in various film and television projects.
|
E388268
|
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: Ryan Lee | Statement: [Super 8, castMember, Ryan Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Lee Context triple: [Super 8, castMember, Ryan Lee]
-
A.
Mason Lee
Mason Lee is a Taiwanese-American actor known for roles in films such as "The Hangover Part II" and for being the son of acclaimed director Ang Lee.
-
B.
Ryan Brown
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
-
C.
Trent Tucker
Trent Tucker is a former American professional basketball shooting guard best known for his NBA career with the New York Knicks and for the "Trent Tucker Rule" that changed the league’s timing regulations.
-
D.
Anders Lee
Anders Lee is an American professional ice hockey forward in the NHL, best known as a longtime leader and key goal-scorer for the New York Islanders.
-
E.
Darren Lew
Darren Lew is a cinematographer known for his work on the horror film "I Still Know What You Did Last Summer."
- 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: Ryan Lee Triple: [Super 8, castMember, Ryan Lee]
Generated description
Ryan Lee is an American actor best known for his role in the science-fiction film "Super 8" and appearances in various film and television projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Lee Target entity description: Ryan Lee is an American actor best known for his role in the science-fiction film "Super 8" and appearances in various film and television projects.
-
A.
Mason Lee
Mason Lee is a Taiwanese-American actor known for roles in films such as "The Hangover Part II" and for being the son of acclaimed director Ang Lee.
-
B.
Ryan Brown
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
-
C.
Trent Tucker
Trent Tucker is a former American professional basketball shooting guard best known for his NBA career with the New York Knicks and for the "Trent Tucker Rule" that changed the league’s timing regulations.
-
D.
Anders Lee
Anders Lee is an American professional ice hockey forward in the NHL, best known as a longtime leader and key goal-scorer for the New York Islanders.
-
E.
Darren Lew
Darren Lew is a cinematographer known for his work on the horror film "I Still Know What You Did Last Summer."
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee42d2bc88190ab85529fcd1aa20a |
completed | March 9, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04ceea881909c3f0d1da9b538ae |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f1730bbc8190a2f5f70ebc5a528a |
completed | March 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f2538eac81908a6c85ddab4e2356 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 9, 2026, 3:13 p.m.