Triple
T11985641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Hiroyuki Liao |
E285269
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object |
Jay Lee in Unforgettable
Jay Lee in "Unforgettable" is a tech-savvy NYPD detective and cybercrime specialist who provides crucial digital forensics support to the team.
|
E958345
|
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 in Unforgettable | Statement: [James Hiroyuki Liao, notableRole, Jay Lee in Unforgettable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Lee in Unforgettable Context triple: [James Hiroyuki Liao, notableRole, Jay Lee in Unforgettable]
-
A.
Jackson Lee
Jackson Lee is the son of American producer and author Tonya Lewis Lee and acclaimed filmmaker Spike Lee.
-
B.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
C.
Jae Lee
Jae Lee is a distinctive comic book artist known for his dark, atmospheric style on titles such as Marvel’s Inhumans and various Batman and Superman projects.
-
D.
James Lee
James Lee is a screenwriter known for his work on the film "Counterpoint."
-
E.
Hancock Lee
Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
- 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 in Unforgettable Triple: [James Hiroyuki Liao, notableRole, Jay Lee in Unforgettable]
Generated description
Jay Lee in "Unforgettable" is a tech-savvy NYPD detective and cybercrime specialist who provides crucial digital forensics support to the team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Lee in Unforgettable Target entity description: Jay Lee in "Unforgettable" is a tech-savvy NYPD detective and cybercrime specialist who provides crucial digital forensics support to the team.
-
A.
Jackson Lee
Jackson Lee is the son of American producer and author Tonya Lewis Lee and acclaimed filmmaker Spike Lee.
-
B.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
C.
Jae Lee
Jae Lee is a distinctive comic book artist known for his dark, atmospheric style on titles such as Marvel’s Inhumans and various Batman and Superman projects.
-
D.
James Lee
James Lee is a screenwriter known for his work on the film "Counterpoint."
-
E.
Hancock Lee
Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47237c23081909044388ff5dc73b3 |
completed | May 1, 2026, 9:28 a.m. |
| NEDg | Description generation | batch_69f47b7c5af08190ab0bff1232530a0c |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47dd51e648190bddd41766221e22d |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.