Triple
T13148672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Bridges |
E312404
|
entity |
| Predicate | hasEnemyType |
P15619
|
FINISHED |
| Object |
Charging Chuck
Charging Chuck is a recurring football-themed enemy in the Super Mario series known for its tough armor and various athletic attacks.
|
E1023820
|
NE FINISHED |
How this triple was built (4 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: Charging Chuck | Statement: [Twin Bridges, hasEnemyType, Charging Chuck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charging Chuck Context triple: [Twin Bridges, hasEnemyType, Charging Chuck]
-
A.
Charger
Charger is the NATO reporting name for the Soviet-era Tupolev Tu-144, one of the world’s first supersonic passenger airliners.
-
B.
Charger
Charger is the athletic mascot representing Briar Cliff University’s sports teams.
-
C.
Chargeurs
Chargeurs is a French industrial and services group historically involved in textiles and film production, among other diversified business activities.
-
D.
Dart Charge
Dart Charge is the electronic toll collection system used to pay for crossing the River Thames via the Dartford Crossing in the UK.
-
E.
Mr. Clutch
Mr. Clutch is the famous nickname of NBA legend Jerry West, renowned for his late-game heroics and clutch performances.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Charging Chuck Triple: [Twin Bridges, hasEnemyType, Charging Chuck]
Generated description
Charging Chuck is a recurring football-themed enemy in the Super Mario series known for its tough armor and various athletic attacks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charging Chuck Target entity description: Charging Chuck is a recurring football-themed enemy in the Super Mario series known for its tough armor and various athletic attacks.
-
A.
Charger
Charger is the NATO reporting name for the Soviet-era Tupolev Tu-144, one of the world’s first supersonic passenger airliners.
-
B.
Charger
Charger is the athletic mascot representing Briar Cliff University’s sports teams.
-
C.
Chargeurs
Chargeurs is a French industrial and services group historically involved in textiles and film production, among other diversified business activities.
-
D.
Dart Charge
Dart Charge is the electronic toll collection system used to pay for crossing the River Thames via the Dartford Crossing in the UK.
-
E.
Mr. Clutch
Mr. Clutch is the nickname of Drew Pearson, a Hall of Fame Dallas Cowboys wide receiver renowned for his game-winning catches in critical moments.
- F. None of above. chosen
Provenance (5 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaea3f888190b47ed7bf1c52e7e7 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6eedfd06c8190b6fe8055e54ca322 |
completed | May 3, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef7479a881909abf6caa21bdcc86 |
completed | May 3, 2026, 6:47 a.m. |
Created at: April 9, 2026, 9:11 p.m.