Triple
T15377705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agent Whiskey |
E367711
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Eggsy Unwin |
E49510
|
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: Eggsy Unwin | Statement: [Agent Whiskey, worksWith, Eggsy Unwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eggsy Unwin Context triple: [Agent Whiskey, worksWith, Eggsy Unwin]
-
A.
Gary "Eggsy" Unwin
chosen
Gary "Eggsy" Unwin is a street-smart British youth who becomes a highly skilled gentleman spy in the Kingsman film series.
-
B.
Harvey Ackroyd
Harvey Ackroyd was an architect known for his work on the Tennessee State Capitol.
-
C.
Guy Fleegman
Guy Fleegman is a comedic supporting character in the sci-fi parody film "Galaxy Quest," known for his self-aware fear of being the expendable "redshirt" crew member.
-
D.
Jack Kitchin
Jack Kitchin was a film editor known for his work on early Hollywood productions, including classic musicals of the 1930s.
-
E.
Charles Butterworth
Charles Butterworth was an American comic film actor of the 1930s and early 1940s, known for his dry, dithering persona in numerous Hollywood comedies.
- 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.