Triple
T12231750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentry |
E291491
|
entity |
| Predicate | creators |
P7732
|
FINISHED |
| Object | Jae Lee |
E907295
|
NE FINISHED |
How this triple was built (2 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: Jae Lee | Statement: [Sentry, creators, Jae Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jae Lee Context triple: [Sentry, creators, Jae Lee]
-
A.
Jae Lee
chosen
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.
-
B.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
C.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
-
D.
Ki Hong Lee
Ki Hong Lee is a Korean-American actor best known for his role as Minho in the Maze Runner film series.
-
E.
Jason Scott Lee
Jason Scott Lee is an American actor and martial artist best known for his lead role in the biographical film "Dragon: The Bruce Lee Story" and various voice and live-action performances in film and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca45bd48190b8b7f6b29b6bb25b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aad2d488190ba36588e3376ca1a |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.