Triple
T14703172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant Calhoun |
E345358
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Cy-Bugs |
E1115760
|
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: Cy-Bugs | Statement: [Sergeant Calhoun, enemy, Cy-Bugs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cy-Bugs Context triple: [Sergeant Calhoun, enemy, Cy-Bugs]
-
A.
Cy-Bugs
chosen
Cy-Bugs are destructive, virus-like alien insects from the Wreck-It Ralph universe that rapidly multiply, consume everything in their path, and threaten entire game worlds.
-
B.
The Bug
The Bug is a British electronic music producer known for his heavy, bass-driven fusion of dub, dancehall, grime, and experimental sound design.
-
C.
The Bug
The Bug is the underworld nickname of Charles Workman, a notorious American mob hitman active during the early to mid-20th century.
-
D.
The Big Bug
The Big Bug is a film featuring Chinese actor Peng Yuchang in a prominent role.
-
E.
Doombots
Doombots are highly advanced robotic duplicates of Doctor Doom designed to mimic his appearance, powers, and personality while serving as decoys and enforcers.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8221a4819098937018f24a0b44 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.