Triple
T14053419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Atomic Kid |
E338149
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Philip Ahn |
E426115
|
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: Philip Ahn | Statement: [The Atomic Kid, starring, Philip Ahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Ahn Context triple: [The Atomic Kid, starring, Philip Ahn]
-
A.
Philip Ahn
chosen
Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
-
B.
Bill Choi
Bill Choi is a television producer best known for serving as an executive producer on the political thriller series "Designated Survivor."
-
C.
Hong Kim
Hong Kim is a film producer known for working on the animated feature "The Nut Job."
-
D.
Andy Kim
Andy Kim is a Democratic U.S. Representative from New Jersey known for his focus on national security, government ethics, and constituent services.
-
E.
SangYup Lee
SangYup Lee is a prominent South Korean automobile designer known for leading Hyundai’s global design direction, including acclaimed models like the Ioniq 5.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8bc54c8190a12f0fc056568538 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65e63b48190bd5bd4a36cd15396 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.