Triple
T15377714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agent Whiskey |
E367711
|
entity |
| Predicate | hasFullName |
P16
|
FINISHED |
| Object | Agent Whiskey |
E367711
|
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: Agent Whiskey | Statement: [Agent Whiskey, hasFullName, Agent Whiskey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agent Whiskey Context triple: [Agent Whiskey, hasFullName, Agent Whiskey]
-
A.
Agent Whiskey
chosen
Agent Whiskey is a suave, lasso-wielding Statesman secret agent from the film "Kingsman: The Golden Circle," portrayed by Pedro Pascal.
-
B.
The Witch
The Witch is a 2015 atmospheric horror film set in 17th-century New England that follows a Puritan family menaced by sinister forces in the wilderness.
-
C.
The Witch
The Witch is a Symbolist painting by French artist Paul Ranson, known for its mystical, decorative style and esoteric, occult themes.
-
D.
The Witch
The Witch is a central, morally complex sorceress in the musical fantasy "Into the Woods," known for driving the plot through her curses, bargains, and eventual transformation.
-
E.
The Witch
"The Witch" is a short horror-tinged story by Shirley Jackson, included in her collection *The Lottery and Other Stories*, that unsettlingly explores childhood, strangers, and menace in an everyday setting.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5ece1081908d7c1289258b9c1f |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b56dd1c81909a3933330e85fe0e |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.