Triple
T22779695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agent Blue |
E563798
|
entity |
| Predicate | isDifferentFrom |
P1612
|
FINISHED |
| Object | Agent White |
—
|
NE NERFINISHED |
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: Agent White | Statement: [Agent Blue, isDifferentFrom, Agent White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agent White Context triple: [Agent Blue, isDifferentFrom, Agent White]
-
A.
Agent White
chosen
Agent White was a herbicidal defoliant used by the U.S. military during the Vietnam War as part of its chemical warfare program.
-
B.
Agent Owen
Agent Owen is a fictional character portrayed by British actor Julian Morris, known for his role in the television series "New Girl."
-
C.
Agent Graves
Agent Graves is the enigmatic, morally ambiguous protagonist of the comic series "100 Bullets," known for offering people untraceable weapons and immunity to exact personal revenge.
-
D.
Agent K
Agent K is a stoic, seasoned alien-fighting operative and one of the main protagonists in the Men in Black franchise, portrayed most famously by Tommy Lee Jones.
-
E.
Agent X
Agent X is an American action-drama television series starring Jeff Hephner as a covert operative working on secret missions for the U.S. government.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.