Triple
T23238219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Hesketh |
E581361
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Eggsy Unwin |
—
|
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: Eggsy Unwin | Statement: [Charlie Hesketh, enemyOf, Eggsy Unwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eggsy Unwin Context triple: [Charlie Hesketh, enemyOf, 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.
Tony Maudsley
Tony Maudsley is a British actor best known for his comedic television roles, including his long-running part as Kenneth in the sitcom "Benidorm."
-
D.
Bob Partridge
Bob Partridge is a fictional character from the political thriller television series "Condor."
-
E.
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.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ea590c81908cd677d89f67d49f |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:09 p.m.